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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. 14755
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    Explanations

    organizations, universities, and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to universities and educational institutions

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Paras
    -0.71
     Hubble
    -0.68
     Situation
    -0.68
     Dalai
    -0.63
     GSL
    -0.63
     regime
    -0.63
     Fidel
    -0.63
     centrif
    -0.62
     Organisation
    -0.61
     Carnage
    -0.61
    POSITIVE LOGITS
    erville
    1.26
    esville
    1.22
    mington
    1.20
    boro
    1.14
    ville
    1.12
     Township
    1.08
    endale
    1.08
    neapolis
    1.04
    burg
    1.03
    stown
    1.02
    Activations Density 0.417%

    No Known Activations