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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. 6-RES-JB
    11. 7491
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    Explanations

    statistical terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to statistics and statistical analysis

    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
    lain
    -1.11
    shire
    -0.85
    eem
    -0.83
    nen
    -0.75
    xia
    -0.72
    aline
    -0.72
    eous
    -0.71
    gro
    -0.71
    ktop
    -0.70
    ardless
    -0.69
    POSITIVE LOGITS
    istically
    1.32
    istical
    1.14
     significance
    0.99
    istics
    0.89
     probability
    0.88
    istic
    0.86
     analysis
    0.82
     impossibility
    0.79
     statistical
    0.78
     anomaly
    0.78
    Activations Density 0.024%

    No Known Activations