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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. 4530
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    Explanations

    words related to weather forecasting

    oai_token-act-pair · gpt-3.5-turbo

    references to forecasts, particularly related to future predictions or long-term projections

    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
    Interstitial
    -0.84
    ivas
    -0.79
    atin
    -0.78
    ifice
    -0.69
    VID
    -0.69
    uggage
    -0.69
    avez
    -0.68
    ochet
    -0.68
    joy
    -0.68
    cius
    -0.67
    POSITIVE LOGITS
     forecast
    1.15
     forecasts
    1.05
    eers
    0.99
    eering
    0.99
    eer
    0.91
     horizon
    0.89
     predicts
    0.86
     predicted
    0.78
     predict
    0.78
     2025
    0.77
    Activations Density 0.015%

    No Known Activations