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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
    11. 13543
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    Explanations

    names of specific individuals, potentially related to sports or other public figures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly athletes

    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
    ymm
    -0.82
    hiro
    -0.75
    terior
    -0.73
    ãĥķãĤ©
    -0.69
    rolog
    -0.68
    ablishment
    -0.68
    undo
    -0.67
    ocard
    -0.66
    ĻĤ
    -0.66
    lopp
    -0.66
    POSITIVE LOGITS
     Coleman
    1.08
     Hawkins
    0.75
     Carpenter
    0.72
     Watts
    0.71
     Dixon
    0.71
     Webb
    0.70
    voy
    0.70
     Hopkins
    0.69
     Burnett
    0.68
    herty
    0.67
    Activations Density 0.004%

    No Known Activations