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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. 2-RES-JB
    11. 18854
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    Explanations

    different companies and organizations, particularly in the entertainment and management industries

    oai_token-act-pair · gpt-3.5-turbo

    elements related to management or organizational entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     assum
    -0.73
     streng
    -0.71
     ingred
    -0.66
    TPPStreamerBot
    -0.66
    ilk
    -0.66
    alis
    -0.64
     agre
    -0.64
    assian
    -0.63
     appe
    -0.62
    wagen
    -0.62
    POSITIVE LOGITS
     Ibid
    0.68
     Selected
    0.67
     0000
    0.67
     1920
    0.67
     Soviets
    0.65
     Maxwell
    0.64
     SOC
    0.62
     CLR
    0.61
     âĵĺ
    0.61
     RTX
    0.61
    Activations Density 0.225%

    No Known Activations