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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. 13815
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    Explanations

    references to specific organizations or regulations, particularly related to health, government, and institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to governmental or health organizations and regulations

    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
    ihad
    -0.92
    athing
    -0.88
    venge
    -0.84
    hello
    -0.81
    alos
    -0.79
    abilia
    -0.77
    tics
    -0.77
     topp
    -0.75
     gigs
    -0.74
    ocious
    -0.73
    POSITIVE LOGITS
     Statistical
    1.16
     Department
    1.13
     Educational
    1.09
     Registry
    1.08
     Geological
    1.02
     Dept
    1.01
     Archives
    1.01
     ILCS
    1.00
     Ministry
    1.00
     Government
    1.00
    Activations Density 0.366%

    No Known Activations