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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. 8-RES-JB
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    Explanations

    specific mentions of the location "Richmond"

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Richmond

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iatrics
    -0.79
    ggle
    -0.73
    ãĥĥãĤ¯
    -0.72
    agy
    -0.71
    atorial
    -0.71
    ãĥĻ
    -0.71
    gger
    -0.70
    berman
    -0.69
    ppo
    -0.69
    xon
    -0.68
    POSITIVE LOGITS
    shire
    0.98
    burg
    0.90
     Hill
    0.86
     Heights
    0.86
    yard
    0.83
    igans
    0.80
     Roads
    0.78
    yards
    0.73
     guiActiveUnfocused
    0.73
    sburg
    0.72
    Activations Density 0.049%

    No Known Activations