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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. 9510
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    INDEX
    Explanations

    keywords related to grouping or categorization

    oai_token-act-pair · gpt-3.5-turbo

    references to groups and classifications in competitive contexts

    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
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    No Comments

    Negative Logits
    DAY
    -0.76
    shire
    -0.75
    issance
    -0.67
    Rah
    -0.65
    Bloomberg
    -0.65
     Dame
    -0.65
    wards
    -0.65
    SIGN
    -0.65
     destro
    -0.62
    ionage
    -0.62
    POSITIVE LOGITS
    roups
    0.98
    emonium
    0.98
    think
    0.95
    ings
    0.95
    ativity
    0.89
    arettes
    0.88
    leader
    0.86
    achu
    0.85
     members
    0.84
    mates
    0.83
    Activations Density 0.060%

    No Known Activations