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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. 9-RES-JB
    11. 22801
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    Explanations

    descriptions of what people are wearing

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word 'wearing' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MQ
    -0.75
    prime
    -0.73
    estine
    -0.72
    rising
    -0.71
    edia
    -0.70
    zon
    -0.70
    VIEW
    -0.70
    deal
    -0.69
    undo
    -0.68
    hower
    -0.68
    POSITIVE LOGITS
     sunglasses
    1.09
     apparel
    1.08
     gloves
    1.05
     jeans
    1.04
     clothes
    1.02
     diapers
    1.01
     clothing
    0.99
     robes
    0.97
     goggles
    0.93
     protective
    0.90
    Activations Density 0.034%

    No Known Activations