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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 5144
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    Explanations

    references to tech companies, especially focusing on SpaceX

    oai_token-act-pair · gpt-3.5-turbo

    references to specific technology companies and brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    obin
    -0.89
    odic
    -0.80
    cum
    -0.79
    robe
    -0.79
    qu
    -0.78
    pee
    -0.78
    othy
    -0.76
    icz
    -0.75
    chest
    -0.74
    ild
    -0.73
    POSITIVE LOGITS
     Corporation
    0.97
    Mobil
    0.85
     Hots
    0.84
     Electronics
    0.80
     Corp
    0.80
     Labs
    0.79
     affiliates
    0.78
     Perkins
    0.76
     Technologies
    0.76
    ModLoader
    0.74
    Activations Density 0.042%

    No Known Activations