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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. 9-RES-JB
    11. 19578
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    INDEX
    Explanations

    numerical measurements such as distances, heights, and dimensions

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to measurements and dimensions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Proc
    -0.71
    ertation
    -0.68
    Quote
    -0.63
     congr
    -0.61
    reply
    -0.61
    ostics
    -0.61
     Accountability
    -0.60
    Sales
    -0.60
     glitch
    -0.58
    isode
    -0.57
    POSITIVE LOGITS
     kilometers
    1.29
     inches
    1.25
     metres
    1.23
     meters
    1.20
     centimeters
    1.20
     kilometres
    1.20
     feet
    1.17
     hectares
    1.16
     miles
    1.15
     km
    1.14
    Activations Density 0.159%

    No Known Activations