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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. 13480
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    Explanations

    highly impactful or notable items or events

    oai_token-act-pair · gpt-3.5-turbo

    the term "significantly" and its usage 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
    bred
    -0.70
    Origin
    -0.68
    Ask
    -0.64
    inside
    -0.64
    eyed
    -0.64
     Mouth
    -0.63
     Evil
    -0.63
    Evil
    -0.63
    ios
    -0.63
    dream
    -0.62
    POSITIVE LOGITS
     significantly
    3.18
     substantially
    2.47
     drastically
    2.36
     considerably
    2.30
     dramatically
    2.27
     markedly
    2.27
     noticeably
    2.26
     radically
    1.95
    ificantly
    1.88
     greatly
    1.83
    Activations Density 0.025%

    No Known Activations