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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. 6-RES-JB
    6. 21601
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    INDEX
    Explanations

    words related to rigid or strict structures or rules

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of equipment or arrangements in a detailed and systematic context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Peninsula
    -0.83
     Dot
    -0.72
    letters
    -0.70
     Hots
    -0.69
    theless
    -0.68
     Franch
    -0.68
     kHz
    -0.66
     Cf
    -0.66
     Extrem
    -0.64
     Upton
    -0.64
    POSITIVE LOGITS
    orously
    1.49
    gers
    1.07
    idity
    1.05
    rig
    1.03
     rig
    0.96
    aton
    0.93
    arious
    0.91
    asus
    0.90
    gins
    0.90
    iola
    0.89
    Activations Density 0.030%

    No Known Activations