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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. 0-RES-JB
    11. 1723
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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 items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Spir
    -0.86
     Plot
    -0.85
     ast
    -0.82
    pir
    -0.78
     fortun
    -0.74
     accum
    -0.74
    Fla
    -0.73
     subst
    -0.73
    suff
    -0.73
    Sound
    -0.72
    POSITIVE LOGITS
     jeans
    2.96
     denim
    2.36
     Levi
    1.48
     leather
    1.38
     Leather
    1.24
     Drake
    1.16
    ovan
    1.15
     trousers
    1.15
     footwear
    1.13
     sneakers
    1.12
    Activations Density 0.042%

    No Known Activations