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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. 1-RES-JB
    11. 8012
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    Explanations

    references to clothing items, particularly jeans

    oai_token-act-pair · gpt-3.5-turbo

    references to jeans and denim-related clothing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     EMS
    -0.64
    alling
    -0.64
     eminent
    -0.63
    hematic
    -0.63
    IENT
    -0.63
     Archdemon
    -0.62
     hazards
    -0.62
    ruciating
    -0.62
     Suff
    -0.62
    ocumented
    -0.62
    POSITIVE LOGITS
     jeans
    1.53
     denim
    1.17
     trousers
    0.94
     socks
    0.87
    weed
    0.86
     Adidas
    0.85
     pants
    0.85
     shorts
    0.84
     jacket
    0.80
     Jacket
    0.80
    Activations Density 0.012%

    No Known Activations