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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. 6-RES-JB
    11. 2943
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    Explanations

    references to Silicon Valley and related entities like venture capitalists and startups

    oai_token-act-pair · gpt-3.5-turbo

    references to Silicon Valley and related investment concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rar
    -0.91
    alogue
    -0.80
    unn
    -0.74
    ram
    -0.71
    vor
    -0.71
    ombs
    -0.71
    cause
    -0.69
    ãĤ¯
    -0.68
    leness
    -0.67
    cru
    -0.65
    POSITIVE LOGITS
     Gap
    0.84
     Networks
    0.81
     firms
    0.81
     CEOs
    0.80
     Weekly
    0.79
     giants
    0.76
     Insider
    0.75
     Hust
    0.74
     billionaires
    0.74
     Silicon
    0.74
    Activations Density 0.054%

    No Known Activations