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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7900
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    INDEX
    Explanations

    mentions of voting outcomes

    oai_token-act-pair · gpt-3.5-turbo

    references to voting and electoral outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     millenn
    -0.92
     Palestin
    -0.91
     unden
    -0.87
    £ı
    -0.83
     Flavoring
    -0.79
     tremend
    -0.76
    ModLoader
    -0.74
     adolesc
    -0.73
    OLOG
    -0.72
    ccording
    -0.69
    POSITIVE LOGITS
    board
    0.93
    vote
    0.89
    room
    0.86
     totals
    0.85
     votes
    0.85
     turnout
    0.81
     Vote
    0.80
     vote
    0.80
     bloc
    0.79
     count
    0.78
    Activations Density 0.027%

    No Known Activations