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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
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    Explanations

    references to wearing or clothing items

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wear."

    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
    ":["
    -0.73
    ISO
    -0.65
    edia
    -0.64
    MQ
    -0.64
     Normandy
    -0.63
    =-=-=-=-
    -0.62
    ommod
    -0.59
    uliffe
    -0.59
    rieved
    -0.59
    emort
    -0.58
    POSITIVE LOGITS
     worn
    1.17
    wear
    1.10
     wear
    1.07
     Wear
    1.02
    ables
    0.96
     apparel
    0.94
    bands
    0.92
     wearer
    0.92
     clothing
    0.90
    ury
    0.90
    Activations Density 0.013%

    No Known Activations