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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. 3-RES-JB
    11. 5359
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    INDEX
    Explanations

    instances of the word "feedback"

    oai_token-act-pair · gpt-3.5-turbo

    references to user feedback and suggestions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    neys
    -0.87
    annis
    -0.75
    asar
    -0.73
    eni
    -0.70
    ns
    -0.67
    ny
    -0.64
    nee
    -0.63
    adem
    -0.63
    ney
    -0.63
    ft
    -0.62
    POSITIVE LOGITS
     feedback
    1.31
     Feedback
    1.05
     loops
    0.94
     testers
    0.93
     reinforcement
    0.77
    -+-+
    0.77
     assurance
    0.77
    Feed
    0.76
     loop
    0.72
    Rate
    0.71
    Activations Density 0.017%

    No Known Activations