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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. 8-RES-JB
    6. 21065
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    Explanations

    greetings or introductions in online communication

    oai_token-act-pair · gpt-3.5-turbo

    greetings and salutations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "},"
    -0.92
    utton
    -0.69
     exerted
    -0.69
    )</
    -0.67
    ``
    -0.64
    culosis
    -0.63
    "},{"
    -0.62
    acle
    -0.61
    .","
    -0.61
    advert
    -0.60
    POSITIVE LOGITS
     Guys
    1.00
     guys
    0.92
     gentlemen
    0.90
     ladies
    0.90
    reetings
    0.85
     Fellow
    0.84
     Ladies
    0.83
    Exc
    0.81
     comrades
    0.80
     sir
    0.79
    Activations Density 0.063%

    No Known Activations