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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. 1-RES-JB
    11. 2323
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    Explanations

    mentions of water-related activities or items such as bore water, water supplies, and water treatment methods

    oai_token-act-pair · gpt-3.5-turbo

    references to "bore" and its contexts, indicating an emphasis on boredom or lack of interest in various scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulsion
    -0.75
    stasy
    -0.75
    committee
    -0.71
    ammy
    -0.70
    ools
    -0.70
    legal
    -0.69
    allows
    -0.68
    morrow
    -0.66
    ournal
    -0.66
    inel
    -0.65
    POSITIVE LOGITS
     bore
    1.17
     Bore
    0.83
    ĸļ
    0.83
     Trident
    0.77
     Grizz
    0.76
    hole
    0.75
    terness
    0.72
    vest
    0.71
    git
    0.71
    cliffe
    0.70
    Activations Density 0.006%

    No Known Activations