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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. 482
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    Explanations

    mentions of visual screens

    oai_token-act-pair · gpt-3.5-turbo

    references to screens in various contexts

    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
    chet
    -0.75
    ETF
    -0.73
    ohn
    -0.69
    law
    -0.65
    pton
    -0.64
    acha
    -0.64
    alty
    -0.64
    za
    -0.60
    âģ
    -0.60
     Treasurer
    -0.60
    POSITIVE LOGITS
     screens
    3.97
     screen
    2.33
    screen
    1.98
     Screen
    1.93
    Screen
    1.88
     screenings
    1.75
     monitors
    1.58
    creen
    1.57
     screened
    1.53
     TVs
    1.53
    Activations Density 0.009%

    No Known Activations