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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. 11-RES-JB
    11. 24571
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    Explanations

    statements about cleaning up or fixing things after a mess or damage has occurred

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a lengthy process or duration of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Synopsis
    -0.81
    luaj
    -0.79
     imperialist
    -0.65
     Vaj
    -0.65
     Released
    -0.65
    Dialog
    -0.65
    emale
    -0.64
    iosyncr
    -0.64
    ãĤ´ãĥ³
    -0.63
     Differences
    -0.63
    POSITIVE LOGITS
     trucks
    1.02
     crews
    0.94
     everybody
    0.93
     neighbors
    0.90
     downtown
    0.90
     tourists
    0.89
    Residents
    0.88
     somebody
    0.87
     parking
    0.87
     ours
    0.87
    Activations Density 0.595%

    No Known Activations