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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. 11-RES-JB
    6. 23397
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    Explanations

    phrases expressing opinions or judgements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate making a statement or providing examples

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.63
    iru
    -0.63
    uzz
    -0.62
     Completed
    -0.62
    elsen
    -0.61
    arnaev
    -0.60
    fram
    -0.60
     sidx
    -0.58
    resa
    -0.58
    enegger
    -0.57
    POSITIVE LOGITS
    laughs
    0.73
     nothing
    0.71
     least
    0.67
    hem
    0.62
    Credit
    0.57
    _>
    0.57
    pecially
    0.56
     detract
    0.56
     suffice
    0.56
    gap
    0.55
    Activations Density 0.087%

    No Known Activations