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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. 8-RES-JB
    11. 8087
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    Explanations

    terms related to importance, relevance, uniqueness, and specificity

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe essential characteristics or qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rison
    -0.74
    ECK
    -0.70
    RAY
    -0.67
    alks
    -0.67
    ourses
    -0.65
    ainers
    -0.64
     Sutherland
    -0.64
    COL
    -0.64
    ederal
    -0.63
    ipment
    -0.60
    POSITIVE LOGITS
     antit
    0.78
     genetically
    0.72
    uously
    0.72
    matically
    0.70
     compatible
    0.69
    Rated
    0.67
    worthy
    0.67
     aest
    0.67
    fitted
    0.66
    est
    0.66
    Activations Density 0.436%

    No Known Activations