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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. 1-RES-JB
    11. 21330
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    Explanations

    names of characters in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of voting results or tallies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.79
     unden
    -0.75
    etheless
    -0.75
    ãĤ¨ãĥ«
    -0.73
    ccording
    -0.72
     thous
    -0.69
     tremend
    -0.69
    obar
    -0.69
     millenn
    -0.68
     colon
    -0.67
    POSITIVE LOGITS
     votes
    1.45
     Votes
    1.26
     vote
    1.22
     Vote
    1.18
    vote
    1.18
     ballots
    1.04
    votes
    1.02
     voting
    0.99
     Voting
    0.97
    Vote
    0.96
    Activations Density 0.012%

    No Known Activations