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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
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    Explanations

    proper nouns, specifically names like "Naz" and "Kadari"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities, particularly those associated with the term "Naz."

    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
    starter
    -0.80
    arter
    -0.70
     soluble
    -0.66
     Velocity
    -0.66
     laundry
    -0.64
    LOCK
    -0.64
     grappling
    -0.63
    crew
    -0.63
     SPR
    -0.62
     cellul
    -0.62
    POSITIVE LOGITS
     Naz
    4.36
    Naz
    3.31
     Naj
    1.30
    Nazis
    1.19
     Nazi
    1.19
     Galile
    1.19
     Bethlehem
    1.13
     Adolf
    1.10
     Rac
    1.07
     Kad
    1.07
    Activations Density 0.015%

    No Known Activations