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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. 0-RES-JB
    11. 10485
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    INDEX
    Explanations

    references to screen resolutions, specifically 1080p

    oai_token-act-pair · gpt-3.5-turbo

    references to video resolutions and graphics card specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iro
    -0.73
    tools
    -0.72
     unconscious
    -0.68
    ird
    -0.67
    ber
    -0.66
     Zig
    -0.66
    ank
    -0.64
    casting
    -0.64
    atory
    -0.64
    Carl
    -0.63
    POSITIVE LOGITS
     1080
    2.75
     1070
    2.22
    1080
    1.95
     1440
    1.80
     980
    1.48
     1050
    1.21
     1280
    1.18
     DOJ
    1.17
     720
    1.16
     970
    1.12
    Activations Density 0.020%

    No Known Activations