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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. 1-RES-JB
    6. 4387
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    INDEX
    Explanations

    mentions of high-profile individuals in a political or public service context

    oai_token-act-pair · gpt-3.5-turbo

    references to former officials or public figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acht
    -0.75
    anche
    -0.71
    TPS
    -0.71
    antics
    -0.70
    achus
    -0.68
    atics
    -0.67
     brace
    -0.67
    ñ
    -0.66
    urga
    -0.66
    plings
    -0.65
    POSITIVE LOGITS
    Former
    0.98
     Former
    0.96
    ly
    0.90
    Veter
    0.76
    bies
    0.71
     former
    0.69
    theless
    0.68
    ity
    0.66
     Vice
    0.65
    nesses
    0.65
    Activations Density 0.012%

    No Known Activations