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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. 2-RES-JB
    11. 13437
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    Explanations

    mentions of clothing items, particularly pants

    oai_token-act-pair · gpt-3.5-turbo

    references to pants and related clothing items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-
    -0.71
     Alzheimer
    -0.68
    =-=-=-=-=-=-=-=-
    -0.64
    Dri
    -0.64
    Fund
    -0.63
    AUT
    -0.62
     Galile
    -0.62
    lder
    -0.61
     McDonnell
    -0.61
    rian
    -0.61
    POSITIVE LOGITS
     pants
    1.18
     trousers
    1.13
    pants
    1.06
    uits
    1.03
    bag
    0.97
    belt
    0.97
    uit
    0.97
     jeans
    0.97
    heon
    0.97
    hirt
    0.94
    Activations Density 0.007%

    No Known Activations