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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    mentions of the location "Washington, D.C."

    oai_token-act-pair · gpt-3.5-turbo

    the mentions of Washington, D.C

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

    No Comments

    Negative Logits
    Maker
    -0.90
    ãĥĻ
    -0.84
    ItemTracker
    -0.81
    Reviewer
    -0.81
    ãĥij
    -0.78
    Materials
    -0.76
    ãĤ¯
    -0.74
    ä
    -0.73
    ãĥĦ
    -0.73
    ãĥł
    -0.72
    POSITIVE LOGITS
    ollar
    0.84
    alls
    0.83
    isco
    0.82
    urry
    0.81
    urses
    0.80
    ortex
    0.76
    herry
    0.76
    ucks
    0.76
    ruck
    0.73
    overed
    0.73
    Activations Density 0.012%

    No Known Activations