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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. 4-RES-JB
    11. 14858
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    Explanations

    words related to natural disasters, particularly floods

    oai_token-act-pair · gpt-3.5-turbo

    references to floods and flooding events

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

    No Comments

    Negative Logits
    axter
    -0.82
    Downloadha
    -0.81
    ccording
    -0.80
    nesota
    -0.78
    atem
    -0.76
    cius
    -0.73
    ando
    -0.69
    CRIPTION
    -0.69
     Eb
    -0.69
     Mortal
    -0.67
    POSITIVE LOGITS
    waters
    1.07
     Flood
    1.05
     flood
    1.03
     Katrina
    0.93
    lighting
    0.92
     flooding
    0.90
     dams
    0.87
     floods
    0.85
     inund
    0.84
    lights
    0.84
    Activations Density 0.010%

    No Known Activations