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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. 3-RES-JB
    11. 17161
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    Explanations

    terms related to startup companies

    oai_token-act-pair · gpt-3.5-turbo

    references to startups

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    othy
    -0.88
    osate
    -0.71
     largeDownload
    -0.69
    âĢ¢âĢ¢
    -0.66
    <<
    -0.65
    hin
    -0.65
    lda
    -0.64
    ktop
    -0.64
    ña
    -0.64
    awed
    -0.63
    POSITIVE LOGITS
     startup
    1.00
     accelerator
    0.97
     startups
    0.93
     entrepreneur
    0.92
     incub
    0.90
     Startup
    0.89
     entreprene
    0.83
     entrepreneurs
    0.82
    eers
    0.77
     entrepreneurship
    0.72
    Activations Density 0.026%

    No Known Activations