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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. 4-RES-JB
    11. 2573
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    Explanations

    brand names or product names in the technology industry

    oai_token-act-pair · gpt-3.5-turbo

    brand names and manufacturers of technology products

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

    No Comments

    Negative Logits
    qqa
    -0.88
    lete
    -0.72
     Debor
    -0.69
     rab
    -0.68
    ysis
    -0.68
    âĿ
    -0.67
    asions
    -0.65
    yip
    -0.65
    chest
    -0.65
    mr
    -0.65
    POSITIVE LOGITS
    Benz
    1.10
     Electronics
    1.02
     Corporation
    0.98
    conn
    0.97
     Motors
    0.89
     Motor
    0.85
    Products
    0.84
    Motor
    0.83
     Products
    0.81
     consumer
    0.80
    Activations Density 0.162%

    No Known Activations