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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. 9-RES-JB
    11. 19394
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    Explanations

    specific names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ģĸ
    -0.67
    ategory
    -0.53
     dashed
    -0.52
     magnification
    -0.50
     hilar
    -0.50
     multiplier
    -0.49
     irony
    -0.49
    blogspot
    -0.48
     biologists
    -0.48
     science
    -0.48
    POSITIVE LOGITS
    anski
    0.71
    ratom
    0.71
    zynski
    0.69
    iewicz
    0.66
    artz
    0.65
    Keefe
    0.65
    SPA
    0.63
    oba
    0.62
    ouf
    0.61
    chuk
    0.60
    Activations Density 0.752%

    No Known Activations