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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 16728
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    Explanations

    years or time-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cumbers
    -0.75
     textual
    -0.71
     zipper
    -0.68
    ogle
    -0.65
     Tray
    -0.62
     chains
    -0.61
    atility
    -0.61
    cro
    -0.61
    achus
    -0.60
    grave
    -0.60
    POSITIVE LOGITS
    long
    0.98
    book
    0.88
    nings
    0.84
    ns
    0.77
     olds
    0.75
    mable
    0.72
    ning
    0.71
    books
    0.71
    INAL
    0.70
    lled
    0.68
    Activations Density 0.107%

    No Known Activations