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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. 4699
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    Explanations

    references to startup companies

    oai_token-act-pair · gpt-3.5-turbo

    references to startups

    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
    othy
    -0.91
    âĢ¢âĢ¢
    -0.73
    osate
    -0.71
    awed
    -0.70
    acho
    -0.67
    utic
    -0.65
    hin
    -0.65
    binding
    -0.64
     largeDownload
    -0.63
    lda
    -0.62
    POSITIVE LOGITS
     accelerator
    0.98
     startups
    0.95
     incub
    0.95
     Startup
    0.95
     entrepreneur
    0.93
     startup
    0.93
     entreprene
    0.87
     entrepreneurs
    0.79
     ecosystem
    0.77
     entrepreneurship
    0.74
    Activations Density 0.024%

    No Known Activations