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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. 8-RES-JB
    6. 23118
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    INDEX
    Explanations

    commands and actions related to typing or entering information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    computer-related instructions such as commands, typing, and entering information

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reilly
    -0.68
    arers
    -0.68
     reorgan
    -0.67
     exhibiting
    -0.65
     exhibition
    -0.61
    icable
    -0.59
    ¥µ
    -0.59
    gas
    -0.59
     feud
    -0.59
    otics
    -0.58
    POSITIVE LOGITS
     captcha
    1.00
    ername
    0.96
     passwords
    0.94
    codes
    0.90
     NAME
    0.87
     "%
    0.87
     username
    0.86
     commands
    0.84
     initials
    0.82
     words
    0.80
    Activations Density 0.109%

    No Known Activations