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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. 8-RES-JB
    11. 24326
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    Explanations

    positive words related to progress or enhancements

    oai_token-act-pair · gpt-3.5-turbo

    references to progress or enhancements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itto
    -0.66
    agate
    -0.64
    ATA
    -0.63
     Heller
    -0.61
    aden
    -0.61
    rigan
    -0.59
    mberg
    -0.58
     Olson
    -0.58
    UCT
    -0.57
    ric
    -0.56
    POSITIVE LOGITS
    ments
    0.99
     improvements
    0.74
    eatures
    0.74
     enhancements
    0.71
    alities
    0.71
    xual
    0.71
     thereto
    0.70
     wrought
    0.70
    ements
    0.70
    undown
    0.70
    Activations Density 0.049%

    No Known Activations