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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. 10-RES-JB
    11. 20513
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    Explanations

    phrases related to manufacturing or companies involved in manufacturing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to manufacturing and manufacturers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.77
    mins
    -0.75
    mire
    -0.68
    retion
    -0.63
    iotic
    -0.61
    ormal
    -0.61
    onyms
    -0.60
     Investigative
    -0.60
    gettable
    -0.60
    Redditor
    -0.59
    POSITIVE LOGITS
     manufactures
    0.97
     manufacturing
    0.96
     manufacturers
    0.85
     manufactured
    0.84
     Consent
    0.83
     Manufacturing
    0.83
    ufact
    0.83
     warranties
    0.82
     packaging
    0.81
     manufacturer
    0.79
    Activations Density 0.076%

    No Known Activations