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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. 21586
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    Explanations

    highly specific nouns related to various industries such as food production and agriculture

    oai_token-act-pair · gpt-3.5-turbo

    specific food items and agricultural products

    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
    yrinth
    -0.72
    >[
    -0.71
    etheless
    -0.69
    OTOS
    -0.69
     advers
    -0.64
    ISE
    -0.64
    ebin
    -0.61
    athetic
    -0.61
    ITNESS
    -0.60
    iazep
    -0.59
    POSITIVE LOGITS
     manufacturers
    1.39
     manufacturer
    1.38
     supplier
    1.37
     producers
    1.35
     growers
    1.35
     suppliers
    1.35
     manufacturing
    1.30
     exports
    1.29
     retailer
    1.29
     factories
    1.29
    Activations Density 0.334%

    No Known Activations