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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. 0-RES-JB
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    Explanations

    keywords related to business activities and entities

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "business" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anon
    -0.89
    nis
    -0.71
    roid
    -0.71
    racuse
    -0.70
    eus
    -0.68
    lest
    -0.67
     IMAGES
    -0.67
    jen
    -0.66
    edit
    -0.66
    oras
    -0.66
    POSITIVE LOGITS
     business
    3.56
    business
    2.82
     Business
    2.57
    Business
    2.48
     businesses
    2.29
     BUS
    1.95
     enterprise
    1.58
     businessmen
    1.54
     commerce
    1.53
     corporate
    1.49
    Activations Density 0.028%

    No Known Activations