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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. 16776
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    Explanations

    words related to measurement scales

    oai_token-act-pair · gpt-3.5-turbo

    references to weighing scales or measurements

    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
    ird
    -0.71
     direct
    -0.69
     Junction
    -0.65
    iring
    -0.65
     Tweet
    -0.64
    ERY
    -0.62
     Reply
    -0.61
    ville
    -0.61
    BR
    -0.61
     Jeep
    -0.60
    POSITIVE LOGITS
     scales
    4.18
     Scale
    1.38
    Scale
    1.36
     scale
    1.35
     sails
    1.33
     folds
    1.14
     weights
    1.11
     scaling
    1.09
     averages
    1.08
     curves
    1.08
    Activations Density 0.024%

    No Known Activations