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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. 13230
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    Explanations

    references to online resources or online activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of online platforms or resources

    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
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    Negative Logits
    baugh
    -0.83
    ioxide
    -0.81
    ohn
    -0.75
    ELS
    -0.72
     Stevens
    -0.71
    selage
    -0.69
    Ģ
    -0.68
    cake
    -0.65
    ents
    -0.65
    zik
    -0.65
    POSITIVE LOGITS
     retailer
    0.94
     encyclopedia
    0.92
     multiplayer
    0.89
     Editors
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    0.85
    inar
    0.84
     poker
    0.83
     marketplace
    0.82
     café
    0.80
     gambling
    0.80
    Activations Density 0.060%

    No Known Activations