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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. 1-RES-JB
    11. 11534
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    Explanations

    keywords related to screens or displays

    oai_token-act-pair · gpt-3.5-turbo

    references to the screen and television industry, particularly in relation to awards and production elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isin
    -0.89
     traff
    -0.75
    manuel
    -0.70
    pez
    -0.68
    manent
    -0.68
     emotionally
    -0.68
    iking
    -0.67
    ATHER
    -0.66
     deaf
    -0.66
    ipop
    -0.64
    POSITIVE LOGITS
     Screen
    1.55
    Screen
    1.23
     Shots
    1.12
     Panel
    1.01
     screenings
    0.97
     Tests
    0.93
     Gems
    0.92
    screen
    0.91
     Characters
    0.90
    reens
    0.88
    Activations Density 0.009%

    No Known Activations