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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. 3-RES-JB
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    Explanations

    numbers that represent ages

    oai_token-act-pair · gpt-3.5-turbo

    numbers, particularly those indicating age, time, and statistical data

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    reference
    -0.68
     fame
    -0.65
    imaru
    -0.65
    ipment
    -0.64
    Reviewer
    -0.64
    amaru
    -0.64
    EStream
    -0.62
    iterator
    -0.60
    ilic
    -0.60
     redemption
    -0.60
    POSITIVE LOGITS
    th
    1.20
    %"
    1.06
    teenth
    1.05
    %,
    0.95
    een
    0.94
    %
    0.93
     percent
    0.91
    %-
    0.91
    %.
    0.89
    rd
    0.86
    Activations Density 0.376%

    No Known Activations