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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. 18021
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    times expressed in digital format

    oai_token-act-pair · gpt-3.5-turbo

    numerical references or timestamps

    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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    Negative Logits
    atem
    -0.72
    ozo
    -0.69
     exha
    -0.65
     Incarn
    -0.65
    matic
    -0.64
    estine
    -0.62
    bian
    -0.62
    matically
    -0.62
    hell
    -0.62
    utra
    -0.62
    POSITIVE LOGITS
     03
    0.92
    00
    0.89
     02
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     07
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     08
    0.87
     01
    0.86
     05
    0.86
     00
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     06
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     09
    0.85
    Activations Density 0.024%

    No Known Activations