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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. 9-RES-JB
    11. 20691
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    Explanations

    physical descriptions related to medical conditions or injuries

    oai_token-act-pair · gpt-3.5-turbo

    descriptive terms related to physical marks, injuries, or blemishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     behalf
    -0.67
    GET
    -0.67
    racuse
    -0.66
    Reviewer
    -0.66
     facult
    -0.64
     logistics
    -0.63
    reon
    -0.63
     schedules
    -0.62
     collaborative
    -0.62
    =-=-=-=-=-=-=-=-
    -0.61
    POSITIVE LOGITS
     protr
    1.11
     emanating
    1.03
     coating
    1.03
     stains
    1.03
     underneath
    1.00
     etched
    0.99
     ooz
    0.93
     crept
    0.92
     popping
    0.90
     visible
    0.90
    Activations Density 0.386%

    No Known Activations