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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. 6167
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    Explanations

    phrases related to medical conditions and emergencies, specifically focusing on injuries being life-threatening

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating life-threatening situations or significant life changes

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.82
     Mock
    -0.65
     Cree
    -0.63
     Rican
    -0.62
    ño
    -0.62
    »Ĵ
    -0.61
     Salvador
    -0.60
    âķIJ
    -0.59
     Cotton
    -0.58
     Midnight
    -0.58
    POSITIVE LOGITS
    saving
    1.30
    threatening
    1.21
    cycle
    1.21
    changing
    1.12
    cycles
    1.09
    span
    1.07
    sized
    1.03
    wreck
    1.02
    styles
    1.02
    time
    0.98
    Activations Density 0.042%

    No Known Activations