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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. 10344
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    Explanations

    proper nouns and names in the text

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names, particularly in the context of films and locations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    abal
    -0.87
    ihad
    -0.84
     Thomson
    -0.79
    obin
    -0.76
    adi
    -0.75
    Ang
    -0.72
    ^^^^
    -0.72
    rentice
    -0.72
    ionic
    -0.69
    Jordan
    -0.69
    POSITIVE LOGITS
     Kur
    1.78
     Kes
    1.50
     Nem
    1.44
     Route
    1.43
     Milky
    1.43
     DS
    1.29
     MH
    1.19
    rek
    1.12
    chio
    1.11
     Sek
    1.04
    Activations Density 0.050%

    No Known Activations