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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. 5601
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    INDEX
    Explanations

    numerical values expressed as percentages or measurements

    oai_token-act-pair · gpt-3.5-turbo

    punctuation symbols

    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
     advis
    -0.75
     salty
    -0.71
     hostage
    -0.68
     swim
    -0.67
     braces
    -0.63
     anomal
    -0.63
     electr
    -0.62
     ultras
    -0.62
     beaut
    -0.62
     architectural
    -0.61
    POSITIVE LOGITS
    99
    1.28
    5
    1.24
    95
    1.24
    0
    1.23
    75
    1.18
    9
    1.16
    8
    1.13
    05
    1.13
    50
    1.12
    6
    1.11
    Activations Density 0.075%

    No Known Activations