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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. 3-RES-JB
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    Explanations

    references to articles of clothing, particularly hoods

    oai_token-act-pair · gpt-3.5-turbo

    references to hoods, particularly in various contexts including clothing and vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.71
     Breed
    -0.71
    vasive
    -0.70
    andum
    -0.68
    ãĤ´ãĥ³
    -0.67
    FORM
    -0.67
    lihood
    -0.66
    tery
    -0.65
    avez
    -0.64
    ASED
    -0.63
    POSITIVE LOGITS
     hood
    1.04
    oos
    0.94
    ies
    0.89
    skin
    0.88
    tip
    0.88
    ie
    0.87
    ook
    0.83
     ornament
    0.82
    ed
    0.81
    sie
    0.78
    Activations Density 0.006%

    No Known Activations