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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. 20347
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    Explanations

    terms related to extreme weather conditions, such as storms, heavy rainfall, heat waves, and droughts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to extreme weather events and climate change

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Salary
    -0.68
    guyen
    -0.67
    incerity
    -0.65
     interchangeable
    -0.64
     liberty
    -0.64
     clipboard
    -0.64
     pub
    -0.64
    mates
    -0.63
     vanity
    -0.63
     Fiat
    -0.63
    POSITIVE LOGITS
    storms
    1.23
     rainfall
    1.06
     rains
    1.06
     plag
    1.00
     affecting
    0.98
     storms
    0.98
     landfall
    0.97
     caused
    0.96
     devast
    0.95
     outbreaks
    0.95
    Activations Density 0.281%

    No Known Activations