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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. 6-RES-JB
    11. 360
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    INDEX
    Explanations

    forecast-related terms like "forecast", "forecasted", and "forecasts"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to predictions and forecasts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.86
    atin
    -0.84
    ivas
    -0.76
    ĸļ
    -0.76
    tein
    -0.74
    ochet
    -0.72
    pite
    -0.71
    cius
    -0.69
    plet
    -0.68
    uggage
    -0.67
    POSITIVE LOGITS
     forecasts
    1.03
     forecast
    1.02
    eers
    1.00
    eer
    0.96
     horizon
    0.92
    eering
    0.91
     predicts
    0.80
     outlook
    0.77
     2030
    0.76
     2020
    0.74
    Activations Density 0.044%

    No Known Activations