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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. 1307
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    INDEX
    Explanations

    large numbers, specifically related to populations or quantities

    oai_token-act-pair · gpt-3.5-turbo

    numerical values representing large quantities or populations

    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
    ourage
    -0.74
     Dating
    -0.73
    anwhile
    -0.72
    apult
    -0.71
    cade
    -0.71
    bara
    -0.68
    uer
    -0.68
    enture
    -0.67
    Boss
    -0.66
    ornia
    -0.66
    POSITIVE LOGITS
     dollars
    1.22
     hectares
    1.10
     pounds
    1.09
     tonnes
    1.07
     gallons
    1.05
     euros
    1.05
     acres
    1.04
     litres
    1.04
    aires
    1.01
     lbs
    1.00
    Activations Density 0.074%

    No Known Activations