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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 6629
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    INDEX
    Explanations

    phrases related to association, connection or relevance

    oai_token-act-pair · gpt-3.5-turbo

    connections or associations between different topics or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifter
    -0.83
    aneers
    -0.81
    arer
    -0.81
    imates
    -0.80
    oufl
    -0.76
    \\\\\\\\
    -0.76
    ARD
    -0.72
    ardo
    -0.71
    ardless
    -0.71
    âķIJ
    -0.70
    POSITIVE LOGITS
     thereto
    0.97
    worldly
    0.92
    ness
    0.91
     mater
    0.81
     ancest
    0.80
     unrelated
    0.78
     additive
    0.73
    paren
    0.73
    lly
    0.72
     topics
    0.72
    Activations Density 0.033%

    No Known Activations