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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. 9-RES-JB
    11. 7351
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    Explanations

    terms related to disasters and their consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to disasters and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ells
    -0.82
    Ģ
    -0.79
    eton
    -0.77
    rab
    -0.76
    skirts
    -0.75
    etch
    -0.74
    ular
    -0.73
    haw
    -0.73
    kaya
    -0.73
    etition
    -0.73
    POSITIVE LOGITS
     catast
    1.04
     Outbreak
    0.90
     aver
    0.89
     devast
    0.88
     plag
    0.87
     engulf
    0.87
     inflicted
    0.82
     scenario
    0.82
     catastrophe
    0.82
     unfolding
    0.82
    Activations Density 0.063%

    No Known Activations