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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 10812
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    INDEX
    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to median values or averages related to statistics

    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
    witch
    -0.78
    Ãī
    -0.71
     Explos
    -0.68
     Travels
    -0.65
     Operation
    -0.64
    Touch
    -0.62
     Sirius
    -0.61
    FK
    -0.60
    Bring
    -0.60
     Sir
    -0.60
    POSITIVE LOGITS
     median
    3.89
     Median
    2.23
     average
    1.63
     averages
    1.34
     avg
    1.32
    average
    1.30
    Average
    1.30
     percentile
    1.27
    mean
    1.23
     mean
    1.13
    Activations Density 0.013%

    No Known Activations