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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. 462
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    Explanations

    government or administrative officials

    oai_token-act-pair · gpt-3.5-turbo

    references to government or organizational officials

    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
    Hig
    -0.77
    OF
    -0.76
    CO
    -0.70
    ãĥª
    -0.69
    chan
    -0.69
    Anything
    -0.68
    âĶĢâĶĢâĶĢâĶĢ
    -0.68
    ãĤ¶
    -0.67
    ãĥ¡
    -0.66
    à
    -0.66
    POSITIVE LOGITS
    paces
    0.93
     raided
    0.89
    hips
    0.85
    hops
    0.84
    hip
    0.81
     allege
    0.80
     stationed
    0.80
     clashed
    0.79
    ortium
    0.79
     reacted
    0.78
    Activations Density 0.221%

    No Known Activations