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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. 9970
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    INDEX
    Explanations

    mention of weights or measurements in grams

    oai_token-act-pair · gpt-3.5-turbo

    measurements of weight in grams and ounces

    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
    irk
    -0.75
     Painter
    -0.67
     Job
    -0.66
     Neighbor
    -0.62
     Charity
    -0.61
    shock
    -0.61
    bridge
    -0.61
     intro
    -0.59
    Job
    -0.58
     Boss
    -0.58
    POSITIVE LOGITS
     grams
    3.12
     ounces
    2.42
     kilograms
    2.42
     ounce
    1.75
     pounds
    1.75
     tonnes
    1.60
     centimeters
    1.54
     litres
    1.53
     teaspoons
    1.53
     tablespoons
    1.49
    Activations Density 0.017%

    No Known Activations