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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    numerical measurements in meters

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements involving meters or metres

    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
    oyal
    -0.67
    gerald
    -0.66
    ESE
    -0.66
    irl
    -0.66
    ornia
    -0.65
    wife
    -0.65
    stay
    -0.65
    ournal
    -0.64
    arlane
    -0.63
     writer
    -0.62
    POSITIVE LOGITS
     meters
    3.73
     metres
    2.82
     meter
    2.28
     centimeters
    2.25
    meter
    2.16
     kilometers
    2.09
     metre
    1.79
     feet
    1.75
     yards
    1.66
     Meter
    1.64
    Activations Density 0.008%

    No Known Activations