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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. 0-RES-JB
    11. 20364
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    INDEX
    Explanations

    mentions of competitors or opponents, particularly in a political or competitive context

    oai_token-act-pair · gpt-3.5-turbo

    references to "challenger" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    autical
    -0.74
    edit
    -0.66
    Property
    -0.65
    cience
    -0.65
    BI
    -0.64
    umin
    -0.63
    gif
    -0.63
    ned
    -0.63
    uman
    -0.62
    ivid
    -0.62
    POSITIVE LOGITS
     challenger
    3.88
     challengers
    2.74
     competitor
    1.42
     Challenger
    1.42
     incumbent
    1.37
    chall
    1.36
    Chall
    1.35
     Chall
    1.28
     challenge
    1.28
     contender
    1.25
    Activations Density 0.015%

    No Known Activations