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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. 6-RES-JB
    11. 22004
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    Explanations

    mentions of the word "Commons" in a parliamentary context

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the term "Commons."

    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
    TRUMP
    -0.77
    stal
    -0.68
    uras
    -0.68
    ographed
    -0.67
    ographies
    -0.62
    mia
    -0.62
    Äĩ
    -0.61
     TRUMP
    -0.61
    ¸
    -0.61
     Boko
    -0.61
    POSITIVE LOGITS
    hire
    1.04
    heimer
    0.92
    yard
    0.88
    Library
    0.85
    borough
    0.84
     Library
    0.81
     Speaker
    0.81
     Commons
    0.81
    yards
    0.79
    hops
    0.79
    Activations Density 0.030%

    No Known Activations