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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. 6-RES-JB
    11. 18851
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    Explanations

    terms and names related to poetry and literature

    oai_token-act-pair · gpt-3.5-turbo

    words related to negative or challenging aspects of situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ¥µ
    -0.69
     chains
    -0.68
     tremend
    -0.63
     immersion
    -0.63
     Hutch
    -0.63
    ItemThumbnailImage
    -0.62
     scoreboard
    -0.62
     vantage
    -0.59
     Cobb
    -0.59
     Samar
    -0.57
    POSITIVE LOGITS
    eworthy
    0.95
    ongyang
    0.94
    incial
    0.89
    anski
    0.89
    fecture
    0.87
    omial
    0.79
    andom
    0.78
    iatric
    0.75
    vernment
    0.72
    ciples
    0.72
    Activations Density 0.118%

    No Known Activations