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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. 3-RES-JB
    11. 23568
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    Explanations

    references to the name 'Bon' in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Bon" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dfx
    -0.82
     Marijuana
    -0.76
    gamer
    -0.74
     Ethics
    -0.73
    INAL
    -0.72
    ODE
    -0.70
     Nicotine
    -0.70
    æĸ¹
    -0.67
    Ire
    -0.66
     RIS
    -0.65
    POSITIVE LOGITS
    anza
    1.03
    uses
    1.01
    Bon
    1.01
    iton
    0.99
     Bon
    0.97
    etooth
    0.94
    itors
    0.87
    vill
    0.87
    hoe
    0.86
    bon
    0.86
    Activations Density 0.007%

    No Known Activations