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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. 1-RES-JB
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    Explanations

    the name "Hawshaw"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to specific names, particularly surnames

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     psychic
    -0.70
     mort
    -0.70
     Gemini
    -0.66
    ACTED
    -0.65
     troubled
    -0.65
     hardened
    -0.65
     Secrets
    -0.65
     fateful
    -0.63
     forensic
    -0.61
     FEMA
    -0.61
    POSITIVE LOGITS
    haw
    1.55
    aii
    1.13
    inson
    1.05
    keye
    0.98
    intosh
    0.97
    andowski
    0.91
    igans
    0.90
    keyes
    0.88
    arij
    0.88
    vine
    0.86
    Activations Density 0.005%

    No Known Activations