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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. 14916
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    Explanations

    data related to food consumption, specifically focusing on meat and alcohol consumption

    oai_token-act-pair · gpt-3.5-turbo

    references to consumption and usage of various substances or resources

    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
    ?????-
    -0.69
    IRC
    -0.68
    quickShipAvailable
    -0.68
    inosaur
    -0.67
    Versions
    -0.64
    uci
    -0.62
     AIR
    -0.62
    Zip
    -0.61
    cipled
    -0.61
    izoph
    -0.61
    POSITIVE LOGITS
    aeda
    0.84
    iasco
    0.73
     worldwide
    0.71
    nels
    0.70
    backs
    0.69
     trough
    0.68
    culosis
    0.66
    nings
    0.66
     across
    0.65
     globally
    0.64
    Activations Density 0.231%

    No Known Activations