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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. 7-RES-JB
    11. 9939
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    INDEX
    Explanations

    mentions of editorial content or articles

    oai_token-act-pair · gpt-3.5-turbo

    references to editorial content and editorial boards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omething
    -0.73
    cles
    -0.71
     Roses
    -0.70
    llan
    -0.70
     Pathfinder
    -0.70
    aday
    -0.69
    agne
    -0.68
    latable
    -0.67
     Ranger
    -0.66
    ulia
    -0.64
    POSITIVE LOGITS
    izing
    1.01
     cartoons
    0.96
    ized
    0.94
    izes
    0.93
     editorial
    0.91
    zeb
    0.88
     editor
    0.87
     judgment
    0.86
    ising
    0.85
    IZE
    0.84
    Activations Density 0.020%

    No Known Activations