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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. 5654
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    INDEX
    Explanations

    keywords related to fundamental or central aspects of a concept or entity

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of a "core" in various 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
    ilon
    -0.77
    channelAvailability
    -0.74
    ufact
    -0.70
    hops
    -0.70
     Laksh
    -0.69
    enne
    -0.66
    pload
    -0.66
    hap
    -0.65
    TN
    -0.64
    arf
    -0.62
    POSITIVE LOGITS
     tenets
    1.07
    lig
    0.96
     compet
    0.94
    stones
    0.89
     principles
    0.87
    stone
    0.84
    opsis
    0.83
     curriculum
    0.82
    tenance
    0.80
    utils
    0.80
    Activations Density 0.032%

    No Known Activations