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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. 2261
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    Explanations

    large numbers representing costs or amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to costs and prices

    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
     procession
    -0.69
     airflow
    -0.66
     Situation
    -0.64
     outdoors
    -0.64
    selection
    -0.64
     mascara
    -0.62
     indoors
    -0.62
     morphology
    -0.61
     spont
    -0.60
     age
    -0.60
    POSITIVE LOGITS
     cents
    1.66
    ¢
    1.53
     euros
    1.38
    $
    1.33
     dollars
    1.21
     yuan
    1.20
     yen
    1.14
     bucks
    1.13
     pounds
    1.13
     pes
    1.12
    Activations Density 0.153%

    No Known Activations