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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. 6426
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    Explanations

    superlatives and adjectives denoting extremes

    oai_token-act-pair · gpt-3.5-turbo

    comparative and superlative adjectives used to describe qualities or characteristics

    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
    hower
    -0.71
    olver
    -0.69
    aea
    -0.67
    EStream
    -0.67
    livion
    -0.66
     Balance
    -0.65
     Ended
    -0.63
    ysical
    -0.63
    assetsadobe
    -0.62
     unfocusedRange
    -0.62
    POSITIVE LOGITS
    liest
    1.20
    hest
    1.14
     smartest
    1.13
    est
    1.08
     shortest
    1.07
    iest
    1.04
     brightest
    1.04
     fastest
    1.02
     heaviest
    1.02
     hardest
    1.02
    Activations Density 0.241%

    No Known Activations