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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. 10301
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    Explanations

    mentions of screenshots

    oai_token-act-pair · gpt-3.5-turbo

    mentions of screenshots

    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
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    Negative Logits
     Boxing
    -0.70
     Amer
    -0.67
     elect
    -0.67
     bonds
    -0.62
    bel
    -0.62
     imper
    -0.61
    African
    -0.60
     conditioning
    -0.60
     Aust
    -0.60
    eless
    -0.60
    POSITIVE LOGITS
     screenshot
    3.54
     screenshots
    3.35
    Screenshot
    2.39
    reenshot
    2.23
    reenshots
    1.91
    imgur
    1.33
     snapshot
    1.24
     pics
    1.21
     snapshots
    1.19
     snippet
    1.12
    Activations Density 0.013%

    No Known Activations