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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. 19921
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    INDEX
    Explanations

    names, particularly of individuals

    oai_token-act-pair · gpt-3.5-turbo

    social media handles or usernames

    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
     Lis
    -0.83
     XIII
    -0.80
     Vi
    -0.79
    hack
    -0.76
    isphere
    -0.76
     iso
    -0.74
     Forth
    -0.74
     HF
    -0.73
    yrinth
    -0.72
    okane
    -0.72
    POSITIVE LOGITS
    Brown
    2.80
     Brown
    2.72
    brown
    2.08
     brown
    1.83
     Browne
    1.78
     Browns
    1.43
    Gray
    1.18
    Redd
    1.17
     Gray
    1.14
    Yellow
    1.08
    Activations Density 0.105%

    No Known Activations