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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. 8-RES-JB
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    Explanations

    references to the television program "60 Minutes."

    oai_token-act-pair · gpt-3.5-turbo

    references to the television program "60 Minutes."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.81
    icult
    -0.75
    sell
    -0.72
    lies
    -0.72
    craft
    -0.68
    cedes
    -0.68
    hend
    -0.67
     Nath
    -0.65
    ilater
    -0.64
    yright
    -0.64
    POSITIVE LOGITS
     Minutes
    1.36
    Hz
    1.01
    fps
    0.96
     Hz
    0.91
    dfx
    0.88
     Seconds
    0.83
     ILCS
    0.82
    328
    0.79
     mph
    0.78
    obyl
    0.77
    Activations Density 0.072%

    No Known Activations