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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. 8-RES-JB
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    Explanations

    information about victims being taken to hospitals and receiving medical treatment

    oai_token-act-pair · gpt-3.5-turbo

    references to medical situations and the transportation of victims to hospitals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     monopol
    -0.70
     Strongh
    -0.70
    soDeliveryDate
    -0.70
     à¨
    -0.66
     reson
    -0.66
    tags
    -0.64
     DRAGON
    -0.63
     neigh
    -0.63
     eBook
    -0.63
     rhy
    -0.63
    POSITIVE LOGITS
     hospital
    1.21
    Doctors
    1.17
     doctors
    1.11
     psychiatric
    1.09
     surgery
    1.09
     Doctors
    1.07
     Medical
    1.07
     paramedics
    1.05
     medical
    1.05
     Surgery
    1.04
    Activations Density 0.287%

    No Known Activations