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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. 3-RES-JB
    6. 12329
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    INDEX
    Explanations

    phrases indicating a positive reception or invitation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of acceptance or inclusivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iple
    -0.89
    uyomi
    -0.79
    olester
    -0.77
    iph
    -0.77
    negie
    -0.74
    sis
    -0.72
    orp
    -0.72
    arcity
    -0.69
    orius
    -0.69
    urg
    -0.68
    POSITIVE LOGITS
     welcome
    1.00
     welcomes
    0.91
     guests
    0.84
     additions
    0.83
     visitors
    0.82
     welcoming
    0.79
     laughter
    0.78
    elcome
    0.78
     Welcome
    0.78
    ãĤĮ
    0.76
    Activations Density 0.012%

    No Known Activations