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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. 24470
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    Explanations

    related to physical actions or objects like throwing, biking, racing, and shooting

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to physical activities and objects

    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
    actionDate
    -0.90
    é¾įåĸļ士
    -0.88
    ãĥĥãĥī
    -0.80
    URA
    -0.76
    Share
    -0.74
    ãĤ¨ãĥ«
    -0.74
    æĥ
    -0.73
    Balance
    -0.71
    DATA
    -0.71
    Newsletter
    -0.71
    POSITIVE LOGITS
     extraord
    1.10
     simulator
    0.94
    er
    0.91
    cher
    0.87
     generator
    0.83
     replica
    0.83
    ners
    0.82
    bler
    0.82
     necklace
    0.82
    ers
    0.82
    Activations Density 0.513%

    No Known Activations