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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. 4-RES-JB
    11. 8514
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    Explanations

    references to the Pope

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Pope

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

    No Comments

    Negative Logits
    nesota
    -0.86
    yrinth
    -0.86
    ript
    -0.82
    awks
    -0.76
    stract
    -0.73
    sbm
    -0.71
    ahime
    -0.70
    mental
    -0.68
    rg
    -0.67
    ties
    -0.66
    POSITIVE LOGITS
     Francis
    1.17
     Benedict
    0.96
     Pope
    0.91
    Pope
    0.80
     infall
    0.79
     Father
    0.79
     pope
    0.78
     Pablo
    0.78
    Father
    0.78
     pont
    0.73
    Activations Density 0.007%

    No Known Activations