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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. 17980
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    Explanations

    adverbs that express surprise or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    adverbs and adjectives conveying a sense of surprise or unexpectedness

    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
    icip
    -0.79
    icipated
    -0.74
    arta
    -0.69
    oubt
    -0.65
    amins
    -0.65
     Issue
    -0.64
    76561
    -0.64
    flight
    -0.64
    uese
    -0.63
     occupations
    -0.63
    POSITIVE LOGITS
     absent
    0.79
     accurate
    0.75
     uncomfortable
    0.75
     impressive
    0.74
     dull
    0.73
     shaped
    0.72
     impressed
    0.70
     situated
    0.70
     ugly
    0.69
    STEM
    0.68
    Activations Density 0.088%

    No Known Activations