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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. 9187
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    INDEX
    Explanations

    mentions of specific names or entities

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or references to specific persons

    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
     overwhelming
    -0.74
     respectively
    -0.72
     cues
    -0.70
     deval
    -0.69
     simultane
    -0.68
     plurality
    -0.65
     turnover
    -0.63
     limitless
    -0.63
     scarce
    -0.62
     branching
    -0.61
    POSITIVE LOGITS
    Assistant
    1.12
    Executive
    0.96
    Senior
    0.95
     Jr
    0.95
    Premium
    0.95
    Contribut
    0.92
    CEO
    0.90
    Chair
    0.86
    Director
    0.86
     Photographer
    0.85
    Activations Density 0.169%

    No Known Activations