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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

    instances where the word "companies" is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    references to companies

    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
    oria
    -0.65
     Healer
    -0.63
    timer
    -0.62
    amph
    -0.62
    iddler
    -0.61
    ullah
    -0.60
    chen
    -0.58
    imi
    -0.58
    idency
    -0.57
    heet
    -0.57
    POSITIVE LOGITS
     companies
    3.52
    Companies
    3.01
     Companies
    2.82
     firms
    2.68
     corporations
    2.44
     businesses
    2.24
     company
    2.20
     manufacturers
    2.14
     startups
    2.12
    company
    2.09
    Activations Density 0.034%

    No Known Activations