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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. 6-RES-JB
    11. 19802
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    Explanations

    terms related to manufacturing industries or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to manufacturing and its related aspects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nee
    -0.77
    tein
    -0.74
    agher
    -0.74
     Metatron
    -0.69
    ses
    -0.66
    udos
    -0.66
    mins
    -0.64
     Fifa
    -0.64
    naire
    -0.64
    imates
    -0.63
    POSITIVE LOGITS
     facilities
    0.88
     industries
    0.88
     Consent
    0.87
     goods
    0.84
     manufacturing
    0.84
    eers
    0.83
     workforce
    0.78
     prowess
    0.78
     facility
    0.77
     competence
    0.74
    Activations Density 0.019%

    No Known Activations