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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 19128
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    Explanations

    phrases beginning with "which"

    oai_token-act-pair · gpt-3.5-turbo

    the word "which" used repeatedly to introduce relative clauses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    athi
    -0.72
     Ott
    -0.64
    grim
    -0.64
    BOX
    -0.63
    STE
    -0.61
    Adams
    -0.61
     VIDEOS
    -0.60
    Behind
    -0.60
     Editors
    -0.60
    MENTS
    -0.59
    POSITIVE LOGITS
     translates
    0.99
     consists
    0.96
     comprises
    0.96
     originated
    0.93
     includes
    0.91
     resulted
    0.90
     incidentally
    0.89
     specializes
    0.89
     operates
    0.88
     consisted
    0.87
    Activations Density 0.124%

    No Known Activations