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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. 7-RES-JB
    11. 20015
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    legal terminology and phrases related to agreements or regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ffee
    -0.83
    ppa
    -0.76
    ï¸ı
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    PDF
    -0.71
     Roose
    -0.71
    texture
    -0.70
    Crystal
    -0.70
     bosses
    -0.70
    ettel
    -0.70
    POSITIVE LOGITS
     pursuant
    1.24
    '';
    1.17
     thereto
    1.17
     specified
    1.14
     practicable
    1.13
     applicable
    1.11
     thereof
    1.07
     [[
    1.07
     lawfully
    1.05
     shall
    1.05
    Activations Density 0.901%

    No Known Activations