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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. 3-RES-JB
    11. 18366
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    Explanations

    words related to future predictions or forecasts

    oai_token-act-pair · gpt-3.5-turbo

    predictions and forecasts about various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oard
    -0.83
    kept
    -0.79
    vier
    -0.78
    bay
    -0.77
    rupulous
    -0.76
    las
    -0.74
    lite
    -0.74
    bin
    -0.74
    bara
    -0.74
    cop
    -0.74
    POSITIVE LOGITS
     Parenthood
    0.75
    EED
    0.73
     doom
    0.68
     predicted
    0.67
     predict
    0.66
     forecasts
    0.66
     lifespan
    0.64
     Prelude
    0.62
    é¾į
    0.60
     toast
    0.59
    Activations Density 0.035%

    No Known Activations