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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
    11. 23189
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    Explanations

    references to numerical measurements related to sports statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements of distance in yards, particularly in a sports context

    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
     Eater
    -0.72
    achi
    -0.68
    eric
    -0.67
     Flu
    -0.65
    ogen
    -0.64
    ESE
    -0.63
    shock
    -0.63
    ophon
    -0.62
    ous
    -0.62
    ilingual
    -0.61
    POSITIVE LOGITS
     yards
    3.83
    yards
    2.56
     yard
    2.55
     Yards
    2.48
    yard
    1.99
     Yard
    1.65
     metres
    1.62
     meters
    1.52
     miles
    1.38
     acres
    1.30
    Activations Density 0.011%

    No Known Activations