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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. 7-RES-JB
    11. 8543
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    INDEX
    Explanations

    mentions of or related to startup companies

    oai_token-act-pair · gpt-3.5-turbo

    references to startups and entrepreneurial activities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    othy
    -0.91
    awed
    -0.72
    acho
    -0.68
    lda
    -0.67
     Chamberlain
    -0.67
    osate
    -0.65
    bah
    -0.64
     chloride
    -0.63
     deceive
    -0.61
     conc
    -0.61
    POSITIVE LOGITS
     incub
    1.09
     startups
    1.01
     entrepreneur
    0.96
     startup
    0.92
     accelerator
    0.92
     Startup
    0.92
     entreprene
    0.90
     ecosystem
    0.88
     founders
    0.84
     entrepreneurs
    0.83
    Activations Density 0.056%

    No Known Activations