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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. 10-RES-JB
    11. 5415
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    Explanations

    references to weight measurements in pounds

    oai_token-act-pair · gpt-3.5-turbo

    references to weight measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eday
    -0.78
    eer
    -0.77
    cknow
    -0.72
    vironment
    -0.72
    istically
    -0.70
    opol
    -0.69
    issance
    -0.68
    choes
    -0.66
    arios
    -0.64
    actionDate
    -0.64
    POSITIVE LOGITS
     sterling
    1.17
     heavier
    1.00
     gorilla
    0.97
     lighter
    0.93
     lbs
    0.92
    lbs
    0.91
     weight
    0.91
     overweight
    0.88
    Weight
    0.88
    cake
    0.87
    Activations Density 0.033%

    No Known Activations