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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. 0-RES-JB
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    Explanations

    phrases containing the word "Lin"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Lin

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ndum
    -0.75
    gage
    -0.65
     beaches
    -0.65
    cue
    -0.63
    soDeliveryDate
    -0.62
    hower
    -0.61
     Parenthood
    -0.61
     therap
    -0.61
    uary
    -0.60
    ANCE
    -0.60
    POSITIVE LOGITS
     Lin
    3.78
    Lin
    2.61
     LIN
    1.50
     Liang
    1.47
     Huang
    1.37
     Wang
    1.34
     Tian
    1.20
     Liu
    1.19
    LIN
    1.19
     Yan
    1.19
    Activations Density 0.008%

    No Known Activations