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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. 4-RES-JB
    6. 18142
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    important terms related to healthcare and societal concerns

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

    No Comments

    Negative Logits
    herer
    -0.52
    emale
    -0.52
    endment
    -0.52
    ourke
    -0.50
    mble
    -0.50
    lished
    -0.48
    ulhu
    -0.48
    代
    -0.47
    milo
    -0.47
    cko
    -0.47
    POSITIVE LOGITS
    pal
    0.51
     regulators
    0.49
     immunity
    0.47
     caps
    0.47
     sensitivity
    0.47
    ishly
    0.46
     icons
    0.46
     adjustments
    0.45
    mods
    0.45
     bonuses
    0.45
    Activations Density 1.450%

    No Known Activations