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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. 8-RES-JB
    11. 10428
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    INDEX
    Explanations

    occurrences of the word "participants."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of participants in a study or survey context

    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
     actionGroup
    -0.67
     IPM
    -0.66
    Capital
    -0.66
    Stop
    -0.65
    inventoryQuantity
    -0.64
    bia
    -0.63
    rament
    -0.62
    à¨
    -0.60
     imperialism
    -0.60
     Inquisition
    -0.60
    POSITIVE LOGITS
    hip
    0.92
    cript
    0.86
    hips
    0.85
    ividual
    0.84
     who
    0.80
    ele
    0.76
     seated
    0.72
     judged
    0.72
    HI
    0.71
     interviewed
    0.71
    Activations Density 0.112%

    No Known Activations