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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 16183
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    Explanations

    words related to natural disasters, particularly hurricanes

    oai_token-act-pair · gpt-3.5-turbo

    references to hurricanes and their impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    skirts
    -1.03
    cius
    -1.01
    xus
    -0.85
    ublic
    -0.77
    ADRA
    -0.77
    rown
    -0.75
    agog
    -0.73
    axter
    -0.72
    dit
    -0.72
    */(
    -0.72
    POSITIVE LOGITS
     Irma
    1.53
     Katrina
    1.35
     Sandy
    1.33
     Harvey
    1.19
    ricane
    1.14
     landfall
    1.06
     Ire
    1.05
     rains
    1.05
     Hurricane
    1.04
     hurricanes
    1.01
    Activations Density 0.035%

    No Known Activations