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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. 9-RES-JB
    6. 11296
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    INDEX
    Explanations

    adjectives expressing strong opinions on actions or events

    oai_token-act-pair · gpt-3.5-turbo

    strong negative sentiments and descriptions of unacceptable behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asio
    -0.68
     lur
    -0.64
     selves
    -0.62
     wills
    -0.62
    essor
    -0.61
     Flavoring
    -0.59
    animate
    -0.59
    ioxide
    -0.58
     masters
    -0.58
    omething
    -0.57
    POSITIVE LOGITS
     overdue
    0.78
     considering
    0.74
    "[
    0.73
    amount
    0.70
    ''
    0.68
     akin
    0.68
     because
    0.68
     retaliation
    0.67
    iev
    0.67
    .[
    0.66
    Activations Density 0.471%

    No Known Activations