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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16378
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    Explanations

    texts related to computer programming or configuration

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical data and numerical information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    FML
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    orem
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    different
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    Dust
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    igan
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     Clicker
    -0.58
    want
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    ãĤ§
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    bug
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    WAR
    -0.55
    POSITIVE LOGITS
     etc
    0.82
     TBA
    0.75
     respectively
    0.74
     Tone
    0.73
     srf
    0.68
     &
    0.65
     Univ
    0.63
     thereof
    0.62
    +)
    0.60
    arthed
    0.59
    Activations Density 0.592%

    No Known Activations