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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. 5-RES-JB
    6. 5133
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    Explanations

    organizations or entities and the roles or positions associated with them

    oai_token-act-pair · gpt-3.5-turbo

    the word "which" used in a context of explanation or clarification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Behind
    -0.74
    athi
    -0.69
    grim
    -0.66
    ve
    -0.63
     Ott
    -0.63
    WARE
    -0.62
    Adams
    -0.61
    Gy
    -0.61
    ben
    -0.61
    Bas
    -0.60
    POSITIVE LOGITS
     operates
    0.88
     comprises
    0.87
     specializes
    0.87
     translates
    0.86
     oversees
    0.84
     encompasses
    0.82
     resulted
    0.82
     governs
    0.81
     consists
    0.81
     originated
    0.80
    Activations Density 0.132%

    No Known Activations