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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 flooding

    oai_token-act-pair · gpt-3.5-turbo

    references to flooding events

    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
    ider
    -0.75
    core
    -0.70
    chie
    -0.70
    pec
    -0.67
     Profession
    -0.67
     Mach
    -0.66
    bert
    -0.64
    ber
    -0.63
    sch
    -0.63
     Chop
    -0.63
    POSITIVE LOGITS
     flooding
    3.69
     floods
    2.63
     flooded
    2.22
     flood
    2.22
     Flood
    1.86
     inund
    1.79
     drowning
    1.51
     pouring
    1.40
     rainfall
    1.40
     overfl
    1.36
    Activations Density 0.017%

    No Known Activations