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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. 17858
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    Explanations

    proper nouns, specifically names like "Jermaine" or "Elaine"

    oai_token-act-pair · gpt-3.5-turbo

    the word "aine" in various contexts

    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
    SAN
    -0.87
    okin
    -0.84
    ping
    -0.83
    lighting
    -0.82
    usalem
    -0.82
    dimension
    -0.79
    ris
    -0.78
    dot
    -0.77
    hips
    -0.77
    sie
    -0.76
    POSITIVE LOGITS
    issance
    1.07
     Lans
    0.87
    llor
    0.85
     Dup
    0.81
     Chao
    0.78
    phrine
    0.78
     Scotia
    0.77
     Jenner
    0.73
    lly
    0.73
    ño
    0.72
    Activations Density 0.119%

    No Known Activations