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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. 6251
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    INDEX
    Explanations

    phrases related to manufacturing processes and sales activities

    oai_token-act-pair · gpt-3.5-turbo

    words related to production and selling activities of various companies

    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
    iety
    -0.85
    Reviewer
    -0.82
    Luckily
    -0.77
    ENTION
    -0.75
    Fortunately
    -0.75
    Leader
    -0.74
    ilee
    -0.73
    truth
    -0.73
    Discussion
    -0.71
    Someone
    -0.71
    POSITIVE LOGITS
     products
    1.15
     branded
    0.99
     apparel
    0.89
     goods
    0.87
     automobiles
    0.87
     automotive
    0.85
     proprietary
    0.84
     specialty
    0.82
     telev
    0.81
     firearms
    0.81
    Activations Density 0.267%

    No Known Activations