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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. 11-RES-JB
    11. 9056
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    Explanations

    proper nouns related to technology

    oai_token-act-pair · gpt-3.5-turbo

    names of entities, classifications, or important terms related to technology, media, and culture

    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
     ÂŃ
    -0.66
    umbn
    -0.65
    ÙĬ
    -0.55
    ¾
    -0.53
     Airbnb
    -0.52
    ggle
    -0.52
     ObamaCare
    -0.51
     beginning
    -0.49
     FIFA
    -0.49
     backstage
    -0.49
    POSITIVE LOGITS
     tends
    0.96
     refers
    0.91
     implies
    0.91
     prefers
    0.90
     retains
    0.90
     sells
    0.89
     denotes
    0.89
     specializes
    0.88
     assures
    0.87
     utilizes
    0.87
    Activations Density 0.689%

    No Known Activations