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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. 7-RES-JB
    11. 13633
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    Explanations

    statistical terms or concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to statistical analysis and significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -1.10
    shire
    -0.89
    eem
    -0.89
    nen
    -0.82
    aline
    -0.81
    ktop
    -0.76
    amina
    -0.71
    artney
    -0.71
    sterdam
    -0.70
    gro
    -0.69
    POSITIVE LOGITS
    istically
    1.22
    istical
    1.19
     significance
    0.91
    istics
    0.91
     probability
    0.87
     statistical
    0.83
     analysis
    0.83
    istic
    0.80
    analysis
    0.79
     literacy
    0.78
    Activations Density 0.036%

    No Known Activations