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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. 5-RES-JB
    6. 9083
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    INDEX
    Explanations

    chair-related phrases and actions

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of chairs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Territories
    -0.69
    aries
    -0.68
    Adds
    -0.65
    actionDate
    -0.64
    arily
    -0.64
     persever
    -0.63
     Rounds
    -0.63
    ocious
    -0.62
    DN
    -0.62
    ï¸ı
    -0.61
    POSITIVE LOGITS
    lift
    1.37
    holder
    1.07
     chair
    1.07
    manship
    1.04
     chairs
    1.03
    chair
    1.01
    tops
    0.97
     cush
    0.96
    woman
    0.94
    chairs
    0.94
    Activations Density 0.025%

    No Known Activations