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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. 6-RES-JB
    6. 3208
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    Explanations

    the word "Super" followed by a single-digit number

    oai_token-act-pair · gpt-3.5-turbo

    references to "Super" followed by a number, particularly "Super Bowl" and related events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gow
    -0.83
    76561
    -0.77
     Seym
    -0.76
    assetsadobe
    -0.73
    OPLE
    -0.73
    edIn
    -0.69
    asus
    -0.69
     guiActiveUn
    -0.69
    ...]
    -0.68
    GGGG
    -0.65
    POSITIVE LOGITS
    visors
    1.27
    visor
    1.25
    imposed
    1.16
    markets
    1.06
    visory
    1.04
    nova
    1.03
    marine
    1.02
    natural
    1.00
    intend
    1.00
    hero
    0.95
    Activations Density 0.018%

    No Known Activations