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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. 21249
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    INDEX
    Explanations

    statements or quotations in a text

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their contexts in sentences

    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
     sqor
    -0.71
     playbook
    -0.61
     bureaucracy
    -0.54
    uristic
    -0.54
    yt
    -0.53
     peek
    -0.51
     liv
    -0.51
     negotiating
    -0.51
     odor
    -0.51
     favor
    -0.50
    POSITIVE LOGITS
    Meanwhile
    0.89
    Elsewhere
    0.82
    Later
    0.76
    Quotes
    0.75
    Asked
    0.73
    However
    0.73
    Other
    0.72
    Trivia
    0.72
    Similarly
    0.71
    Others
    0.69
    Activations Density 0.570%

    No Known Activations