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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. 10089
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    INDEX
    Explanations

    data-related terms such as numbers, research results, and statistical findings

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data or statistics related to populations and societal trends

    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
     yours
    -0.72
    quished
    -0.68
     confir
    -0.68
    enment
    -0.68
    aye
    -0.68
     comrade
    -0.65
     ours
    -0.64
    !).
    -0.63
    !/
    -0.63
    !'
    -0.62
    POSITIVE LOGITS
     "âĢ¦
    0.93
     "[
    0.84
     median
    0.81
     overest
    0.79
     clustered
    0.77
     respondents
    0.77
     underestimated
    0.76
     statistically
    0.75
    Compared
    0.74
    ificantly
    0.74
    Activations Density 0.620%

    No Known Activations