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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. 10-RES-JB
    11. 8316
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    Explanations

    words related to making something operational or progressing a project

    oai_token-act-pair · gpt-3.5-turbo

    actions related to starting, continuing, or completing projects or tasks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exceptions
    -0.66
    cean
    -0.62
    ettings
    -0.60
    Accessory
    -0.59
     extremes
    -0.57
     antit
    -0.57
     Revelations
    -0.56
    ¿½
    -0.56
    Attempts
    -0.55
    uggest
    -0.55
    POSITIVE LOGITS
     ASAP
    1.31
     sooner
    1.06
     safely
    1.03
     smoothly
    1.00
     efficiently
    1.00
     properly
    0.99
     quicker
    0.97
     faster
    0.96
     cheaply
    0.95
     again
    0.94
    Activations Density 0.191%

    No Known Activations