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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. 4-RES-JB
    11. 22374
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    Explanations

    words related to chemical compounds and processes, specifically focusing on substances like "propa*ne*" and "*antimatter*"

    oai_token-act-pair · gpt-3.5-turbo

    chemical compounds and elements associated with energy production and reactions

    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
    NEY
    -0.90
     [|
    -0.74
     Homeless
    -0.68
    saf
    -0.67
     Anxiety
    -0.64
    Privacy
    -0.62
     Bers
    -0.62
     Celebr
    -0.62
    cffffcc
    -0.62
    Beat
    -0.62
    POSITIVE LOGITS
     oxide
    1.23
    oxide
    1.08
     chloride
    1.05
     dioxide
    1.04
    ioxide
    0.98
     phosphate
    0.96
     polymer
    0.96
    amide
    0.94
    uctor
    0.92
     resin
    0.90
    Activations Density 0.162%

    No Known Activations