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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. 1-RES-JB
    6. 6096
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    Explanations

    words related to debate or discussion

    oai_token-act-pair · gpt-3.5-turbo

    terms related to discussions or debates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eared
    -0.80
    EMA
    -0.74
    nings
    -0.74
    eled
    -0.74
    alty
    -0.72
    of
    -0.72
    uras
    -0.70
    ages
    -0.69
    gencies
    -0.68
    ARS
    -0.67
    POSITIVE LOGITS
     debated
    1.12
     debating
    1.07
     debates
    0.98
     debate
    0.89
     unanimously
    0.86
     Debate
    0.85
    nesday
    0.73
    wik
    0.73
     undecided
    0.73
    halla
    0.72
    Activations Density 0.010%

    No Known Activations