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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. 1-RES-JB
    6. 23768
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    INDEX
    Explanations

    words related to hyphenated phrases or compounds

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases or words related to risks or problematic situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dickinson
    -0.83
    ulhu
    -0.80
     AVG
    -0.67
     Compass
    -0.65
    ħĭ
    -0.62
     Norris
    -0.62
     "$:/
    -0.62
     Richards
    -0.61
     EntityItem
    -0.60
     Loll
    -0.60
    POSITIVE LOGITS
    based
    1.17
    sized
    1.14
    level
    1.04
    shaped
    0.95
    related
    0.95
    eyed
    0.94
    themed
    0.92
    induced
    0.92
    centered
    0.91
    specific
    0.91
    Activations Density 0.510%

    No Known Activations