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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. 10-RES-JB
    11. 10311
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical data or statistics in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     favorably
    -0.94
     favoring
    -0.92
     honors
    -0.90
     favor
    -0.87
     favored
    -0.80
     totaled
    -0.78
     honored
    -0.78
     utilizing
    -0.78
     hash
    -0.75
     traveling
    -0.75
    POSITIVE LOGITS
    BBC
    1.48
    ³³³³³³³³
    1.40
    Labour
    1.40
    Liverpool
    1.30
    Britain
    1.27
    Scotland
    1.27
    ³³³³³³³³³³³³³³³³
    1.25
    Scroll
    1.25
    England
    1.25
    ³³³³
    1.19
    Activations Density 0.338%

    No Known Activations