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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 23953
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing varying degrees of quality or excellence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chel
    -0.50
     guiActiveUn
    -0.49
    LOCK
    -0.49
     elig
    -0.48
     VIDEOS
    -0.47
    ORTS
    -0.47
    Impl
    -0.47
    crit
    -0.46
    RESULTS
    -0.45
     unexpl
    -0.45
    POSITIVE LOGITS
    ers
    0.74
    ered
    0.69
    enum
    0.69
    enment
    0.62
    ens
    0.62
    ering
    0.62
    er
    0.60
    erd
    0.60
    ERS
    0.59
    ER
    0.59
    Activations Density 0.211%

    No Known Activations