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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. 6947
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    INDEX
    Explanations

    comparisons indicating superiority or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "more" and its comparative context

    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
    xtap
    -0.80
    atan
    -0.75
    heid
    -0.72
    etimes
    -0.72
    rosis
    -0.68
    pex
    -0.68
    æ©
    -0.67
    utions
    -0.67
    ovies
    -0.66
    OCK
    -0.66
    POSITIVE LOGITS
     than
    1.37
     efficient
    1.07
     likely
    1.02
     complicated
    1.02
     importantly
    0.96
     inclined
    0.96
     accurate
    0.93
     expensive
    0.91
     suited
    0.90
     important
    0.90
    Activations Density 0.126%

    No Known Activations