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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
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    Explanations

    mentions of dairy products, specifically milk

    oai_token-act-pair · gpt-3.5-turbo

    mentions of milk and related context

    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
    angers
    -0.89
    SPONSORED
    -0.84
    izons
    -0.77
    asio
    -0.75
     satell
    -0.75
    âĸ¬
    -0.73
    ISE
    -0.72
    vernment
    -0.69
     WATCHED
    -0.67
     seriousness
    -0.66
    POSITIVE LOGITS
    weed
    1.15
    waukee
    1.02
    maid
    0.95
     milk
    0.94
     Milk
    0.91
    fed
    0.91
    mil
    0.88
    erton
    0.86
    tub
    0.82
    toe
    0.81
    Activations Density 0.012%

    No Known Activations