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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. 4-RES-JB
    11. 22127
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    Explanations

    words related to statistics and analysis

    oai_token-act-pair · gpt-3.5-turbo

    terms related to statistical methods and analyses

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

    No Comments

    Negative Logits
    lain
    -1.06
    eem
    -0.94
    aline
    -0.79
    nen
    -0.78
    shire
    -0.78
    ktop
    -0.75
    ding
    -0.74
    pires
    -0.74
    ijing
    -0.72
    gro
    -0.72
    POSITIVE LOGITS
    istically
    1.22
    istical
    1.10
     significance
    0.92
     anomalies
    0.89
     anomaly
    0.87
     impossibility
    0.84
     probability
    0.81
     statistical
    0.80
    istics
    0.77
     coefficient
    0.76
    Activations Density 0.014%

    No Known Activations