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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. 11-RES-JB
    6. 8160
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    INDEX
    Explanations

    references to the news network Fox

    oai_token-act-pair · gpt-3.5-turbo

    references to the Fox News network

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assy
    -0.64
    orically
    -0.62
    estones
    -0.62
     captcha
    -0.61
    rians
    -0.59
     quo
    -0.59
    apter
    -0.58
    iments
    -0.57
     Edison
    -0.57
     rusty
    -0.57
    POSITIVE LOGITS
    conn
    1.59
     News
    1.11
    News
    1.06
    woods
    1.00
    croft
    1.00
    borough
    0.98
     Broadcasting
    0.92
    Sports
    0.92
    cat
    0.89
     Sports
    0.88
    Activations Density 0.035%

    No Known Activations