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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. 20677
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    Explanations

    names of companies and organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to corporate and geographical entities

    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
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    No Comments

    Negative Logits
    ysis
    -0.83
    yout
    -0.73
    ugi
    -0.72
    ulhu
    -0.71
     concess
    -0.71
    netflix
    -0.70
    ĪĴ
    -0.68
    liam
    -0.68
    ufact
    -0.66
    agne
    -0.64
    POSITIVE LOGITS
    Forest
    0.74
    ense
    0.67
    à
    0.65
    Post
    0.64
    craft
    0.59
    Mobil
    0.59
    Fal
    0.58
    Lenin
    0.58
     Enterprise
    0.58
    roleum
    0.57
    Activations Density 0.214%

    No Known Activations