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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. 12856
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    Explanations

    phrases related to natural phenomena, specifically thunder and lightning

    oai_token-act-pair · gpt-3.5-turbo

    terms related to thunder and lightning

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    elled
    -0.72
    glers
    -0.70
    VICE
    -0.67
    dit
    -0.64
    urized
    -0.63
    76561
    -0.61
    eled
    -0.61
    lde
    -0.60
    emale
    -0.59
     Lean
    -0.59
    POSITIVE LOGITS
    bolt
    1.54
    storms
    1.37
    bol
    1.23
    storm
    1.21
    stru
    1.17
    bird
    1.07
     bolt
    1.01
    fuck
    1.01
    cloud
    1.01
    strike
    0.98
    Activations Density 0.064%

    No Known Activations