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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. 11-RES-JB
    11. 5051
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    Explanations

    terms related to exposure to different stimuli or substances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to exposure to various environmental hazards

    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
    assian
    -0.75
    aldi
    -0.70
    notations
    -0.68
    orders
    -0.65
    rior
    -0.65
    IAN
    -0.64
    lean
    -0.64
    order
    -0.63
     Jou
    -0.63
    maker
    -0.63
    POSITIVE LOGITS
    ibilities
    0.80
     Exposure
    0.78
     to
    0.77
     thereto
    0.75
    iltr
    0.71
    ibly
    0.71
     exposure
    0.71
     exposed
    0.68
     exposing
    0.66
     prematurely
    0.66
    Activations Density 0.059%

    No Known Activations