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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. 9-RES-JB
    11. 14260
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    Explanations

    terms related to medical conditions and genetic disorders, particularly focusing on chromosomes and parasitic infections

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific medical condition or related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ered
    -0.64
    OWS
    -0.63
    bler
    -0.62
    rence
    -0.61
    ãĤ¡
    -0.61
    OUT
    -0.61
    TextColor
    -0.59
    taker
    -0.57
    ASED
    -0.57
    rying
    -0.57
    POSITIVE LOGITS
    hiba
    1.41
    ophical
    1.18
    heet
    1.14
    keleton
    1.14
    metics
    1.09
    ophy
    1.08
    leep
    1.07
    sein
    1.05
    ynthesis
    1.02
    ystem
    1.01
    Activations Density 0.063%

    No Known Activations