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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. 14684
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    INDEX
    Explanations

    informational phrases for various topics or organizations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that provide information or references to additional information sources

    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
    aud
    -0.71
    meter
    -0.70
    xtap
    -0.62
    alone
    -0.61
    Sort
    -0.61
     choir
    -0.61
    adj
    -0.60
     Dull
    -0.60
     Gong
    -0.58
     Bastard
    -0.57
    POSITIVE LOGITS
     regarding
    0.84
     details
    0.77
     info
    0.76
    tackle
    0.74
     pertaining
    0.73
    ---------
    0.71
     concerning
    0.70
    finder
    0.70
    utory
    0.69
     relating
    0.69
    Activations Density 0.035%

    No Known Activations