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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
    11. 11416
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    Explanations

    inconsistent numerical patterns or unexpected numerical sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and references to time

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUn
    -0.71
     pastoral
    -0.71
    assetsadobe
    -0.69
    ument
    -0.69
    gart
    -0.67
     relat
    -0.65
     srf
    -0.62
    brance
    -0.62
     wounding
    -0.62
     savior
    -0.61
    POSITIVE LOGITS
    ecause
    1.01
     Wonders
    1.00
    69
    0.96
    th
    0.95
    07
    0.92
    88
    0.91
    49
    0.89
    883
    0.88
    46
    0.88
    06
    0.86
    Activations Density 0.060%

    No Known Activations