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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. 18299
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    Explanations

    questions or prompts to engage the user in a conversation

    oai_token-act-pair · gpt-3.5-turbo

    questions and statements that involve identifying individuals or making inquiries about information

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.74
    obin
    -0.68
    etheless
    -0.68
     Defenders
    -0.67
    omal
    -0.67
    itutional
    -0.64
     LIA
    -0.63
     prosecutions
    -0.62
    iversal
    -0.60
    exclusive
    -0.60
    POSITIVE LOGITS
     groceries
    0.89
    terday
    0.81
     ______
    0.81
     pizza
    0.80
     homework
    0.80
     dinner
    0.78
     XY
    0.78
     sushi
    0.78
     stairs
    0.77
     classmate
    0.76
    Activations Density 0.916%

    No Known Activations