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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. 4-RES-JB
    11. 19755
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    INDEX
    Explanations

    mentions of food ingredients, specifically mustard

    oai_token-act-pair · gpt-3.5-turbo

    references to food-related items and concepts

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

    No Comments

    Negative Logits
    nets
    -0.67
    caster
    -0.67
    sets
    -0.67
    Offline
    -0.66
    SET
    -0.65
     scen
    -0.65
     genders
    -0.64
    hetically
    -0.63
     deferred
    -0.63
    sites
    -0.63
    POSITIVE LOGITS
     coli
    1.39
    oute
    0.95
    olate
    0.83
    hog
    0.79
    ãĥ³ãĤ¸
    0.76
    pora
    0.75
    mone
    0.73
    beans
    0.73
    sie
    0.73
    adoes
    0.70
    Activations Density 0.024%

    No Known Activations