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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. 20567
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    Explanations

    phrases indicating the introduction of a new or additional concept or subject

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating repeated instances or patterns of behavior or events

    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
    isters
    -0.78
    alties
    -0.77
    hips
    -0.73
    lee
    -0.72
    kee
    -0.71
    liest
    -0.69
    =-=-=-=-
    -0.68
    Always
    -0.68
    oes
    -0.67
     Hos
    -0.65
    POSITIVE LOGITS
    worldly
    1.06
     notch
    0.85
     contender
    0.79
    wcs
    0.78
     avenue
    0.77
    natureconservancy
    0.76
     dimension
    0.76
     installment
    0.76
    judicial
    0.76
     Flavoring
    0.74
    Activations Density 0.038%

    No Known Activations