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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. 9-RES-JB
    11. 19698
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    Explanations

    references to numbers, rankings, or time indicators

    oai_token-act-pair · gpt-3.5-turbo

    numerical references and statistics related to events or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ."
    -0.71
    .,"
    -0.68
    gerald
    -0.65
    .
    -0.63
    .'
    -0.61
    ."
    -0.60
     ".
    -0.60
    ADVERTISEMENT
    -0.59
    !".
    -0.59
    _.
    -0.59
    POSITIVE LOGITS
     thereafter
    0.95
     thereof
    0.95
     thereto
    0.89
     alike
    0.86
     ensuing
    0.82
    )}
    0.77
     therein
    0.74
     afterwards
    0.74
    )?
    0.73
     afterward
    0.73
    Activations Density 0.843%

    No Known Activations