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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. 11-RES-JB
    11. 5348
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    Explanations

    references to television or TV

    oai_token-act-pair · gpt-3.5-turbo

    references to television and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.86
    forth
    -0.77
    tto
    -0.76
    furt
    -0.75
    abouts
    -0.73
    assisted
    -0.70
    20439
    -0.70
    etsy
    -0.70
    ibel
    -0.69
    ename
    -0.68
    POSITIVE LOGITS
    ILLE
    1.15
     stations
    1.05
     channel
    1.04
     broadcasts
    1.03
     channels
    1.02
     station
    1.01
     broadcasters
    1.00
     presenter
    0.97
     Channel
    0.95
    trop
    0.94
    Activations Density 0.036%

    No Known Activations