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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. 1-RES-JB
    11. 5051
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    INDEX
    Explanations

    information related to weight, particularly 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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WARN
    -0.75
     Acad
    -0.71
    anwhile
    -0.67
     Aval
    -0.67
     Inform
    -0.67
    eer
    -0.66
     Occupations
    -0.65
    eways
    -0.64
     Exper
    -0.62
    eve
    -0.62
    POSITIVE LOGITS
     sterling
    1.36
     pounds
    1.27
     pound
    1.09
    lbs
    1.04
    pound
    1.03
     lbs
    0.98
     tremend
    0.88
     kilograms
    0.86
     Pound
    0.81
    Weight
    0.79
    Activations Density 0.005%

    No Known Activations