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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. 4-RES-JB
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    Explanations

    mentions of the name "Barnes"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Barnes."

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

    No Comments

    Negative Logits
    escal
    -0.76
    ppy
    -0.72
    ffic
    -0.71
    pper
    -0.68
    Vi
    -0.67
    boarding
    -0.67
    llor
    -0.61
    agonist
    -0.60
     guid
    -0.60
    eanor
    -0.60
    POSITIVE LOGITS
    nect
    0.87
     Barnes
    0.86
     Yards
    0.83
    haw
    0.81
    aunders
    0.80
    yard
    0.79
    MpServer
    0.79
    sey
    0.78
    sell
    0.78
    kinson
    0.78
    Activations Density 0.011%

    No Known Activations