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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

    mentions of the word "bun" and related food items

    oai_token-act-pair · gpt-3.5-turbo

    references to buns and related food items

    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
    Ö¼
    -0.91
    士
    -0.72
     Fundamental
    -0.69
    PLIED
    -0.69
    Import
    -0.69
    ONS
    -0.66
     Archdemon
    -0.66
    Ú
    -0.65
    ICT
    -0.65
     DRAG
    -0.65
    POSITIVE LOGITS
    yip
    1.28
    kered
    1.07
    ches
    1.06
    gee
    1.03
    halla
    0.97
    ting
    0.96
    cher
    0.95
    combe
    0.95
    ters
    0.94
    terness
    0.90
    Activations Density 0.008%

    No Known Activations