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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. 8518
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    Explanations

    ingredients and instructions related to a recipe, especially those involving chili

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of 'chill' or relaxation, often in a figurative or metaphorical context

    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
    ports
    -0.82
    prises
    -0.76
    lder
    -0.76
    glas
    -0.76
    prise
    -0.75
    grad
    -0.74
    ledged
    -0.73
    change
    -0.72
    cca
    -0.71
    rahim
    -0.71
    POSITIVE LOGITS
    ingly
    0.95
     Chill
    0.83
    iar
    0.77
     chill
    0.75
    ish
    0.74
    iw
    0.73
     cooker
    0.73
    IER
    0.73
    achine
    0.72
    warm
    0.72
    Activations Density 0.032%

    No Known Activations