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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. 10-RES-JB
    11. 5352
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    Explanations

    references to natural disasters or extreme weather conditions, with a focus on droughts

    oai_token-act-pair · gpt-3.5-turbo

    references to drought conditions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    raltar
    -0.75
    racuse
    -0.73
    eston
    -0.73
     desk
    -0.72
     Voc
    -0.71
     desks
    -0.68
    ogle
    -0.67
     bart
    -0.65
    hetics
    -0.65
    metics
    -0.64
    POSITIVE LOGITS
     outbreak
    1.23
     Outbreak
    1.14
     plag
    1.08
     devast
    1.03
     outbreaks
    1.03
     epidemic
    1.02
     affecting
    0.98
     raging
    0.96
     occurrence
    0.94
    storms
    0.93
    Activations Density 0.104%

    No Known Activations