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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. 10-RES-JB
    6. 17346
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    Explanations

    references to society or social terms

    oai_token-act-pair · gpt-3.5-turbo

    references to social structures or organizations

    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
     fluorescent
    -0.72
     knocking
    -0.67
     stump
    -0.65
     ultrasound
    -0.62
     vomit
    -0.62
     recall
    -0.62
     blast
    -0.60
     lamb
    -0.60
    ++++
    -0.60
     invasive
    -0.60
    POSITIVE LOGITS
    ieties
    1.53
    iety
    1.52
    ietal
    1.48
    keye
    1.29
    cer
    1.24
    iet
    1.19
    ionics
    1.05
    ivil
    0.97
    io
    0.92
    ethe
    0.90
    Activations Density 0.027%

    No Known Activations