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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. 21510
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    terms related to manufacturing and production

    oai_token-act-pair · gpt-3.5-turbo

    terms related to manufacturing and production processes

    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
    phe
    -0.73
    CHAT
    -0.71
    gettable
    -0.69
    iotic
    -0.69
    laus
    -0.69
    retion
    -0.68
    amon
    -0.67
    oway
    -0.67
    mins
    -0.66
     RTX
    -0.66
    POSITIVE LOGITS
     manufacturing
    0.96
     manufactures
    0.94
     factory
    0.86
     factories
    0.85
     Consent
    0.84
     manufactured
    0.84
     manufacture
    0.81
     manufacturer
    0.81
     manufacturers
    0.81
     defect
    0.81
    Activations Density 0.085%

    No Known Activations