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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. 14874
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    Explanations

    keywords related to various industries and fields including titles, games, chemicals, greetings, debates, Vedantic Sanskrit hymns, oceans, themes, launches, petroleum, dogs, bugs, quests, printers, positions, boundaries, magazines, food, vice-presidential prospects, wardrobes, science fiction

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns or concepts related to various categories and subjects

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.78
    anwhile
    -0.76
    bsite
    -0.62
     Beir
    -0.61
    terday
    -0.59
    emale
    -0.59
    vu
    -0.59
    zza
    -0.58
    =~
    -0.58
     Townsend
    -0.57
    POSITIVE LOGITS
     endorsements
    0.67
     variants
    0.66
     varieties
    0.66
     types
    0.66
     categories
    0.65
     titles
    0.65
     implementations
    0.64
    isations
    0.63
     configurations
    0.62
     cancers
    0.62
    Activations Density 0.657%

    No Known Activations