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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. 6911
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    Explanations

    words related to attracting or capturing attention or interest

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "appeal" and its variations in different contexts

    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
    ILS
    -0.71
    ifa
    -0.66
     msec
    -0.62
    heed
    -0.61
    kson
    -0.59
     Shu
    -0.57
    stan
    -0.56
     Merrill
    -0.56
     Benjamin
    -0.56
    REE
    -0.55
    POSITIVE LOGITS
    ingly
    1.17
    yrinth
    0.85
     Flavoring
    0.83
    minist
    0.76
    vantage
    0.76
    cean
    0.75
    atism
    0.74
    affle
    0.71
    eals
    0.70
    acy
    0.70
    Activations Density 0.041%

    No Known Activations