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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. 9-RES-JB
    11. 18574
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    INDEX
    Explanations

    professional athletes and sports terms

    oai_token-act-pair · gpt-3.5-turbo

    specific sports positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.76
    Climate
    -0.76
    MpServer
    -0.75
    externalActionCode
    -0.71
    thodox
    -0.71
    ysics
    -0.68
    axis
    -0.68
    soType
    -0.68
    elsius
    -0.68
     tremend
    -0.68
    POSITIVE LOGITS
     Aaron
    1.23
     Reggie
    1.17
     Kevin
    1.15
     Brandon
    1.14
     Colin
    1.13
     Justin
    1.12
     Kyle
    1.12
     Chris
    1.11
     Andrew
    1.10
     Jason
    1.10
    Activations Density 0.105%

    No Known Activations