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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. 4-RES-JB
    11. 6519
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    Explanations

    phrases related to user engagement

    oai_token-act-pair · gpt-3.5-turbo

    various forms of the word "engagement"

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

    No Comments

    Negative Logits
    \\\\\\\\
    -0.72
    天
    -0.65
    uggage
    -0.64
    aic
    -0.64
     Sabha
    -0.63
    printed
    -0.62
    kowski
    -0.62
     surviving
    -0.62
    olog
    -0.62
    tera
    -0.61
    POSITIVE LOGITS
     engagement
    1.17
     engagements
    0.89
    agement
    0.85
    naire
    0.81
     engaged
    0.81
     engages
    0.71
    EMENT
    0.70
    itures
    0.70
    ernaut
    0.69
     ring
    0.69
    Activations Density 0.004%

    No Known Activations