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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. 15346
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    Explanations

    actions related to societal participation or contribution

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions and contributions of individuals within a community or society

    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
    %.
    -0.68
    iven
    -0.64
    among
    -0.63
    UNCH
    -0.61
    asking
    -0.61
    actly
    -0.60
    %;
    -0.58
    ';
    -0.57
     ',
    -0.57
    `.
    -0.57
    POSITIVE LOGITS
     aren
    0.90
     weren
    0.85
     are
    0.82
     were
    0.77
    pires
    0.74
     cannot
    0.72
     contrace
    0.69
     shouldn
    0.69
     benefited
    0.68
     differed
    0.64
    Activations Density 0.403%

    No Known Activations