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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. 3-RES-JB
    11. 5055
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    Explanations

    phrases related to political elections

    oai_token-act-pair · gpt-3.5-turbo

    references to voting and electoral participation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     millenn
    -1.02
     Palestin
    -0.98
    £ı
    -0.96
     tremend
    -0.93
     unden
    -0.89
    ccording
    -0.85
     Flavoring
    -0.82
    ¥ŀ
    -0.77
    obar
    -0.75
     princ
    -0.75
    POSITIVE LOGITS
    vote
    1.15
     vote
    1.11
     votes
    1.10
     Vote
    1.07
    board
    0.96
     Leave
    0.92
     voting
    0.92
    room
    0.91
     ballots
    0.91
    boards
    0.85
    Activations Density 0.026%

    No Known Activations