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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. 6-RES-JB
    11. 15438
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    Explanations

    the word "s."

    oai_token-act-pair · gpt-3.5-turbo

    special characters or formatting marks in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rothschild
    -0.74
     Salon
    -0.73
     Britons
    -0.72
     Verge
    -0.65
     Ré
    -0.64
     Gaul
    -0.63
     Vie
    -0.63
     RN
    -0.62
     Tours
    -0.62
    atories
    -0.62
    POSITIVE LOGITS
     gonna
    1.15
     gotta
    0.92
    initely
    0.83
    selves
    0.83
     kinda
    0.79
    uddenly
    0.77
    reed
    0.77
    onna
    0.76
    omew
    0.72
     funny
    0.71
    Activations Density 0.235%

    No Known Activations