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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. 6670
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    Explanations

    words related to death and medical procedures, specifically those involving mortality

    oai_token-act-pair · gpt-3.5-turbo

    words related to mortality and death

    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
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    Negative Logits
     Congo
    -0.63
    æĢ
    -0.61
    zee
    -0.61
     Founders
    -0.61
     Racial
    -0.59
    çīĪ
    -0.58
    soDeliveryDate
    -0.57
    KEY
    -0.55
    orthy
    -0.55
     Ethiopia
    -0.55
    POSITIVE LOGITS
    uary
    1.29
    ician
    1.21
    imer
    1.18
    ality
    1.10
    icia
    1.05
    ifying
    1.03
    gage
    1.03
    iculture
    1.02
    ified
    1.01
    ification
    0.99
    Activations Density 0.044%

    No Known Activations