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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. 20362
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    Explanations

    phrases related to specific establishments or businesses

    oai_token-act-pair · gpt-3.5-turbo

    possessive forms indicating ownership or association

    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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    Negative Logits
    rait
    -0.87
    llor
    -0.82
    hari
    -0.78
    aneously
    -0.78
    ocument
    -0.71
    anguage
    -0.70
    ubuntu
    -0.67
    ulkan
    -0.67
    ļéĨĴ
    -0.66
    folios
    -0.66
    POSITIVE LOGITS
     Revenge
    0.87
     Syndrome
    0.86
     finest
    0.86
     Mansion
    0.86
     newest
    0.84
     Creek
    0.80
     Tavern
    0.80
     own
    0.80
     Cove
    0.79
     Tale
    0.79
    Activations Density 0.112%

    No Known Activations