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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. 10-RES-JB
    11. 22139
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    Explanations

    words related to different types of items or products for sale in various stores

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to various types of businesses and products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.78
     Minutes
    -0.74
    ahime
    -0.66
    20439
    -0.66
    raints
    -0.65
     Adults
    -0.64
     Kislyak
    -0.63
     Zucker
    -0.63
     juven
    -0.62
     Attention
    -0.61
    POSITIVE LOGITS
     shop
    1.48
     dealer
    1.37
     factory
    1.37
     manufacturer
    1.37
     manufact
    1.33
     manufacturing
    1.29
    shop
    1.29
     supplier
    1.28
    maker
    1.28
     maker
    1.27
    Activations Density 0.326%

    No Known Activations