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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. 24505
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    Explanations

    phrases related to technology companies and competition

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive actions and strategies in the tech industry

    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
    ŃĶ
    -0.89
    »Ĵ
    -0.80
    Parameters
    -0.80
    estern
    -0.79
    ograp
    -0.76
    Ĭ±
    -0.75
    aughters
    -0.73
    iltr
    -0.73
    £ı
    -0.73
    HAEL
    -0.73
    POSITIVE LOGITS
     piracy
    1.30
     consumers
    1.24
     Apple
    1.15
     antitrust
    1.15
     startups
    1.14
     advertisers
    1.12
     competitors
    1.10
     Netflix
    1.10
     marketers
    1.10
     Spotify
    1.09
    Activations Density 0.498%

    No Known Activations