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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. 0-RES-JB
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    Explanations

    words related to natural disasters, specifically focusing on tsunamis

    oai_token-act-pair · gpt-3.5-turbo

    references to tsunamis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brother
    -0.74
    Bron
    -0.73
     Bron
    -0.73
    mc
    -0.73
     MC
    -0.73
    Col
    -0.68
    itives
    -0.66
    lin
    -0.65
     Jacob
    -0.65
     Cheese
    -0.63
    POSITIVE LOGITS
     tsunami
    4.07
     tsun
    2.40
     landslide
    2.09
     tidal
    1.88
     landsl
    1.87
     avalanche
    1.82
     Fukushima
    1.77
     earthquake
    1.77
     tornado
    1.55
     quake
    1.42
    Activations Density 0.021%

    No Known Activations