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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
    11. 16751
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    Explanations

    words related to natural disasters, specifically droughts

    oai_token-act-pair · gpt-3.5-turbo

    references to drought and its impacts

    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
    ogn
    -0.66
    obj
    -0.66
     obj
    -0.65
    Platform
    -0.65
     Skull
    -0.63
    tons
    -0.62
    Weapon
    -0.62
     Side
    -0.62
    kin
    -0.61
    view
    -0.61
    POSITIVE LOGITS
     drought
    3.89
     famine
    1.75
     rainfall
    1.53
     irrigation
    1.36
     wildfire
    1.34
     wildfires
    1.34
     rains
    1.32
     deforestation
    1.29
     floods
    1.28
     thirst
    1.24
    Activations Density 0.017%

    No Known Activations