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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. 11-RES-JB
    11. 13563
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    INDEX
    Explanations

    weather-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to weather and meteorological conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irlf
    -0.75
    ethe
    -0.69
     Corpse
    -0.67
    leck
    -0.66
    incerity
    -0.65
    wered
    -0.65
    ovo
    -0.64
    umbn
    -0.63
     Parenthood
    -0.62
     Cly
    -0.62
    POSITIVE LOGITS
     forecast
    1.15
     forecasts
    1.14
     extremes
    1.12
     forecasting
    1.09
     conditions
    1.03
    beat
    1.00
    proof
    0.99
    weather
    0.92
     prediction
    0.89
    casters
    0.88
    Activations Density 0.052%

    No Known Activations