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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. 6-RES-JB
    6. 17910
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    Explanations

    phrases where someone is quoted as saying something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating direct quotations or reported speech

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    spir
    -0.84
    thur
    -0.81
    etheless
    -0.80
    mol
    -0.77
    erity
    -0.71
    successfully
    -0.69
    cffffcc
    -0.68
    ãĥİ
    -0.68
     neighb
    -0.67
    eneg
    -0.67
    POSITIVE LOGITS
     Diane
    0.85
     Sgt
    0.85
     Mike
    0.80
     Vick
    0.80
     Geoff
    0.80
     Dave
    0.79
     Donna
    0.79
     Chris
    0.78
     Dawn
    0.77
     Andrea
    0.76
    Activations Density 0.056%

    No Known Activations