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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 4056
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    Explanations

    lines of code or code-related comments

    oai_token-act-pair · gpt-3.5-turbo

    comments or annotations in programming code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ylum
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    edom
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     Vaugh
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    vertisement
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    ogy
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    acia
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     fortun
    -0.70
    ocratic
    -0.70
    avorite
    -0.70
    arthed
    -0.68
    POSITIVE LOGITS
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    1.27
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    1.19
    ================================================================
    1.06
    ++++++++++++++++
    1.04
    ERROR
    0.97
     TOD
    0.94
     ----------------------------------------------------------------
    0.89
    ////
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    ----------------------------------------------------------------
    0.87
    Activations Density 0.017%

    No Known Activations