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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. 12-RES-JB
    11. 4250
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    Explanations

    words related to severe weather events and details like dates and locations

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    keywords related to general queries and legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     benefiting
    -0.65
     benefit
    -0.62
     mentors
    -0.62
     benefited
    -0.62
     benefits
    -0.60
     beneficiaries
    -0.58
     mentor
    -0.57
     assists
    -0.56
     prior
    -0.56
     disadvantage
    -0.55
    POSITIVE LOGITS
    ÃĥÃĤ
    1.11
    à
    1.01
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    1.00
    âĺ
    0.99
     teasp
    0.99
    âĢ
    0.99
    ÃĥÃĤÃĥÃĤ
    0.98
    ñ
    0.98
    ß
    0.96
    ò
    0.96
    Activations Density 1.795%

    No Known Activations