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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

    specific mentions of the name "Picard" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Picard"

    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
    iami
    -0.82
    rys
    -0.79
    eria
    -0.73
    hemy
    -0.72
    tal
    -0.69
    steel
    -0.68
    draft
    -0.67
    wire
    -0.66
     AFC
    -0.64
     Century
    -0.63
    POSITIVE LOGITS
     Picard
    2.97
     Spock
    1.49
     Starfleet
    1.30
     Klingon
    1.18
     "$:/
    1.00
    Pic
    0.98
     which
    0.94
     Lann
    0.93
     Donn
    0.80
     Scientology
    0.80
    Activations Density 0.011%

    No Known Activations