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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. 870
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    INDEX
    Explanations

    phrases indicating intention or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate intentions or purposes expressed with "as to."

    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
    âĿ
    -0.71
     Steps
    -0.64
     Nickel
    -0.63
     Crom
    -0.63
     Lerner
    -0.58
     McCann
    -0.58
     Directorate
    -0.57
    iked
    -0.57
     versus
    -0.57
     Cruiser
    -0.57
    POSITIVE LOGITS
     preclude
    0.99
     minimize
    0.98
     exclude
    0.94
     maximize
    0.92
     avoid
    0.91
     preserve
    0.90
    ingu
    0.88
     ensure
    0.88
     deprive
    0.87
     eliminate
    0.85
    Activations Density 0.040%

    No Known Activations