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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. 10-RES-JB
    11. 5074
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuations and formatting markers in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     affili
    -0.98
     induct
    -0.88
     patron
    -0.85
     warranted
    -0.76
     accrued
    -0.75
     corrective
    -0.75
     grounding
    -0.73
     contributing
    -0.73
     reception
    -0.73
     purchasing
    -0.72
    POSITIVE LOGITS
    txt
    1.82
    exe
    1.75
    lua
    1.70
    cfg
    1.67
    py
    1.65
    xml
    1.62
    cpp
    1.60
    dll
    1.59
    json
    1.58
    properties
    1.54
    Activations Density 0.084%

    No Known Activations