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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. 7-RES-JB
    11. 2741
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    Explanations

    clothing items, specifically 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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scotia
    -0.66
    illery
    -0.66
    AUT
    -0.66
    KNOWN
    -0.65
     Galile
    -0.65
     Flavoring
    -0.65
    ende
    -0.64
    rian
    -0.63
    =-=-=-=-
    -0.61
    rious
    -0.60
    POSITIVE LOGITS
    hirt
    1.14
    leeve
    1.04
     trousers
    1.04
     jeans
    1.03
     pants
    1.03
    pants
    0.99
    pins
    0.99
    uits
    0.97
     shorts
    0.97
    cloth
    0.95
    Activations Density 0.016%

    No Known Activations