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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. 14147
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    INDEX
    Explanations

    mentions of conditions or restrictions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a conclusion or commentary

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     nurs
    -0.62
    cel
    -0.59
    minster
    -0.59
    Enlarge
    -0.57
    ardo
    -0.56
     glob
    -0.55
    ral
    -0.54
     upl
    -0.54
    pert
    -0.53
    sing
    -0.53
    POSITIVE LOGITS
     Anyway
    0.94
    */
    0.75
    esides
    0.72
     Regardless
    0.71
    Anyway
    0.71
     Additionally
    0.71
    ãĤ´ãĥ³
    0.67
    while
    0.66
    feature
    0.66
     Nevertheless
    0.65
    Activations Density 0.160%

    No Known Activations