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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. 1-RES-JB
    11. 2742
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    Explanations

    terms or phrases related to improvement or enhancement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of enrichment and improvement, particularly in contexts like soil quality, education, and cultural enhancement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Assassins
    -0.84
     Scream
    -0.75
    Unknown
    -0.73
    Feel
    -0.73
     Warriors
    -0.73
    PAR
    -0.70
    WAR
    -0.70
     Mirror
    -0.70
    Origin
    -0.70
    California
    -0.69
    POSITIVE LOGITS
     enrich
    1.61
     enriched
    1.34
     enrichment
    1.31
     uranium
    1.05
    riched
    1.03
     Seym
    1.00
    ĸļ
    0.99
    dinand
    0.98
    itures
    0.97
    mble
    0.93
    Activations Density 0.007%

    No Known Activations