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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. 5-RES-JB
    6. 9513
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    Explanations

    dates and titles

    oai_token-act-pair · gpt-3.5-turbo

    prominent references to specific events or entities in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raints
    -0.85
    aeda
    -0.79
     disadvant
    -0.78
    luster
    -0.78
    farious
    -0.75
    orage
    -0.74
    olicy
    -0.74
    obbies
    -0.73
    Downloadha
    -0.72
    inki
    -0.71
    POSITIVE LOGITS
    cknowled
    0.67
     KH
    0.61
     Copyright
    0.60
     COURT
    0.60
     Emb
    0.58
     translator
    0.58
     Photograph
    0.58
     transl
    0.57
     Rain
    0.56
     Opinion
    0.55
    Activations Density 0.254%

    No Known Activations