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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. 9-RES-JB
    11. 2360
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    Explanations

    words related to clothing items or accessories

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of pajamas or clothing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Waters
    -0.76
     Horizons
    -0.76
     Izan
    -0.72
     Dull
    -0.72
    ONSORED
    -0.71
     Ferry
    -0.69
     Darling
    -0.68
     Hou
    -0.68
     Barg
    -0.68
     Vald
    -0.67
    POSITIVE LOGITS
    ophobic
    1.00
    geoning
    0.98
    otomy
    0.94
    onyms
    0.92
    agra
    0.92
    ouses
    0.90
    kered
    0.89
    emonic
    0.89
    keyes
    0.88
    ements
    0.88
    Activations Density 0.228%

    No Known Activations