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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. 9-RES-JB
    11. 4939
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    Explanations

    business-related terms or references

    oai_token-act-pair · gpt-3.5-turbo

    connections between business-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Bleach
    -0.72
     vomiting
    -0.70
    ĸļ
    -0.70
     tapes
    -0.67
    TEXTURE
    -0.67
    ukong
    -0.67
     DEAD
    -0.67
     chalk
    -0.67
     SCP
    -0.66
    RECT
    -0.66
    POSITIVE LOGITS
     commerce
    1.00
    Commerce
    0.98
    Indust
    0.95
     agriculture
    0.94
    markets
    0.94
     Entreprene
    0.94
     consumer
    0.93
     entrepreneurship
    0.93
    consumer
    0.92
     Markets
    0.92
    Activations Density 0.247%

    No Known Activations