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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. 7-RES-JB
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    Explanations

    mentions of natural disasters related to floods

    oai_token-act-pair · gpt-3.5-turbo

    words that relate to flooding and water-related disasters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.74
    nesota
    -0.69
    cius
    -0.67
    doms
    -0.67
    CRIPTION
    -0.66
    Ģ
    -0.66
    resso
    -0.65
    ooth
    -0.65
    ournal
    -0.64
    Merit
    -0.64
    POSITIVE LOGITS
    waters
    1.21
     Flood
    1.00
     waters
    0.96
     Katrina
    0.94
    plain
    0.91
     plains
    0.90
    lights
    0.90
    water
    0.87
    lighting
    0.87
     flood
    0.85
    Activations Density 0.034%

    No Known Activations