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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. 22787
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    INDEX
    Explanations

    mentions of screens or screen-related activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "screen" in various contexts

    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
    ghan
    -0.72
    doms
    -0.70
     Carnegie
    -0.67
     caution
    -0.65
    ortium
    -0.65
    IGH
    -0.63
     plur
    -0.62
    lesh
    -0.61
     Harriet
    -0.60
    aternal
    -0.59
    POSITIVE LOGITS
    plays
    1.34
    printed
    1.06
    writers
    1.03
    tops
    1.00
    caps
    0.96
    writer
    0.96
     TVs
    0.96
    writing
    0.91
     screens
    0.90
    reens
    0.89
    Activations Density 0.019%

    No Known Activations