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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. 8-RES-JB
    11. 1996
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    INDEX
    Explanations

    measurements of speed in kilometers per hour

    oai_token-act-pair · gpt-3.5-turbo

    quantitative measurements related to speed and distance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.80
    algia
    -0.73
     Archives
    -0.70
    nil
    -0.68
     McCann
    -0.68
     stains
    -0.68
     stained
    -0.67
     Sovere
    -0.67
     [&
    -0.66
    ById
    -0.66
    POSITIVE LOGITS
     speeds
    1.47
     mph
    1.28
     speed
    1.11
     distances
    1.06
    Speed
    1.06
    mph
    1.05
     acceleration
    1.04
    speed
    0.98
     altitude
    0.97
     MPH
    0.93
    Activations Density 0.182%

    No Known Activations