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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. 11-RES-JB
    11. 11916
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    INDEX
    Explanations

    comparative and superlative adjectives

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating high quality or superiority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ember
    -0.79
    ifferent
    -0.76
    isance
    -0.70
    70710
    -0.70
    ioned
    -0.70
    =~
    -0.69
    oire
    -0.69
    iaz
    -0.69
    Enough
    -0.69
    xia
    -0.66
    POSITIVE LOGITS
     longest
    1.56
     smartest
    1.55
     brightest
    1.54
     cheapest
    1.51
     oldest
    1.46
     richest
    1.45
     fastest
    1.45
     safest
    1.45
     heaviest
    1.43
     quickest
    1.41
    Activations Density 0.107%

    No Known Activations