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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. 12688
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    Explanations

    phrases related to high achievement or excellence in various fields like sports, technology, and entertainment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of high performance or excellence in various fields

    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
    Query
    -0.89
    oother
    -0.77
    ãĥ¯ãĥ³
    -0.75
    rontal
    -0.75
    _-
    -0.70
     Cosponsors
    -0.66
    uish
    -0.65
    Operation
    -0.65
    icate
    -0.65
    icular
    -0.64
    POSITIVE LOGITS
     EVER
    0.97
     ever
    0.96
     history
    0.93
     humankind
    0.92
     anywhere
    0.87
     mankind
    0.86
     planet
    0.85
     world
    0.80
     existence
    0.79
     contemporary
    0.76
    Activations Density 0.207%

    No Known Activations