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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. 8-RES-JB
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    Explanations

    mentions of the word "monopoly", particularly in the context of control and dominance in various areas like marketing, marriage, cryptography, and violence

    oai_token-act-pair · gpt-3.5-turbo

    references to monopolies and their implications in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irling
    -0.77
    older
    -0.75
    burn
    -0.74
    Eva
    -0.74
    ha
    -0.71
    received
    -0.71
    adi
    -0.69
    travel
    -0.69
    hur
    -0.67
    adows
    -0.67
    POSITIVE LOGITS
     monopol
    1.03
     monopoly
    1.02
    eers
    0.95
    opoly
    0.91
    ategory
    0.88
    ensable
    0.85
    ulence
    0.85
    ulent
    0.82
     pricing
    0.82
    opol
    0.80
    Activations Density 0.049%

    No Known Activations