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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. 8344
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    Explanations

    the word "serial" followed by various suffixes and prefixes

    oai_token-act-pair · gpt-3.5-turbo

    references to seriality or classifications involving the term "serial"

    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
    uden
    -0.78
    OPLE
    -0.77
    reath
    -0.76
    luck
    -0.75
    aneers
    -0.73
    atche
    -0.73
    wich
    -0.72
    arest
    -0.71
    riel
    -0.70
    hhhh
    -0.69
    POSITIVE LOGITS
    ized
    1.09
    izable
    0.96
    ization
    0.95
     serial
    0.93
     killers
    0.92
    isation
    0.91
    ised
    0.91
     monog
    0.87
    izations
    0.87
    Upload
    0.82
    Activations Density 0.016%

    No Known Activations