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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. 7-RES-JB
    11. 3958
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    INDEX
    Explanations

    phrases related to potential or actual effects, outcomes, or consequences

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating potential or capability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fighter
    -0.76
     Fighting
    -0.71
     bidding
    -0.69
     Seeking
    -0.66
     Ivory
    -0.64
    Kit
    -0.62
     Quarter
    -0.62
     honoring
    -0.61
     Mour
    -0.60
    bats
    -0.60
    POSITIVE LOGITS
    't
    1.42
    adian
    1.16
    berra
    1.14
    NOT
    1.07
     easily
    1.03
    isters
    1.02
     be
    0.95
    ister
    0.94
     vary
    0.92
     withstand
    0.91
    Activations Density 0.145%

    No Known Activations