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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. 14866
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    INDEX
    Explanations

    adjectives or adverbs that express a strong level of certainty or intensity

    oai_token-act-pair · gpt-3.5-turbo

    quantifiers and expressions of emphasis or degrees of certainty

    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
    iggins
    -0.74
    idon
    -0.68
    ushima
    -0.67
    Ö¼
    -0.64
    arat
    -0.63
    EEE
    -0.61
    leground
    -0.60
    gest
    -0.59
    amaru
    -0.59
    ultan
    -0.59
    POSITIVE LOGITS
     analysts
    0.71
     SHALL
    0.64
     observers
    0.62
     researcher
    0.59
     bets
    0.58
     developers
    0.58
     commentators
    0.57
     recourse
    0.57
     designers
    0.57
     heirs
    0.56
    Activations Density 0.462%

    No Known Activations