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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. 11310
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    oai_token-act-pair · gpt-3.5-turbo

    references to email addresses and related concepts

    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
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    No Comments

    Negative Logits
    liga
    -0.77
    TRY
    -0.77
    jury
    -0.69
     Statue
    -0.68
    ynski
    -0.67
     Templar
    -0.67
     Ezekiel
    -0.67
    anu
    -0.63
    ICLE
    -0.63
    ãĥķãĤ©
    -0.63
    POSITIVE LOGITS
     inbox
    1.29
     address
    1.25
     addresses
    1.17
     correspondence
    1.14
    address
    1.10
     newsletters
    0.99
     Address
    0.97
     communications
    0.95
    email
    0.92
    boxes
    0.92
    Activations Density 0.041%

    No Known Activations