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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. 11-RES-JB
    6. 16933
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    Explanations

    phrases related to expressing opinions or adding commentary in a discussion

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating statements or speech

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tud
    -0.88
     Titanic
    -0.85
    idine
    -0.84
     Tunis
    -0.83
    adan
    -0.81
    isons
    -0.80
    istani
    -0.80
    aban
    -0.80
    adi
    -0.80
    pak
    -0.77
    POSITIVE LOGITS
     Gr
    2.35
    Gr
    2.29
    gr
    2.01
     gr
    1.96
     GR
    1.85
     Griff
    1.69
     Griffin
    1.65
    GR
    1.64
    Gro
    1.56
     Gro
    1.52
    Activations Density 0.339%

    No Known Activations