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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. 23909
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    INDEX
    Explanations

    instances where someone or a group is pleased with a situation or outcome

    oai_token-act-pair · gpt-3.5-turbo

    expressions of satisfaction or contentment

    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
    opic
    -0.82
    ocular
    -0.81
    plane
    -0.78
    ciplinary
    -0.77
    amen
    -0.74
    chrome
    -0.70
    ngth
    -0.69
    uter
    -0.69
    illin
    -0.69
    ammy
    -0.67
    POSITIVE LOGITS
    liness
    0.75
    ered
    0.74
    ienced
    0.73
    iated
    0.71
    ragon
    0.68
    ably
    0.68
     Shad
    0.67
    ments
    0.65
     satisfied
    0.64
    lihood
    0.63
    Activations Density 0.041%

    No Known Activations