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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. 8-RES-JB
    11. 13014
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    INDEX
    Explanations

    adjectives describing regular, average individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to ordinary people and their experiences

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    asus
    -0.82
    rogram
    -0.81
    etheus
    -0.78
    orously
    -0.74
    arth
    -0.72
    ffer
    -0.71
     Archdemon
    -0.71
    atical
    -0.71
    eters
    -0.70
    egal
    -0.70
    POSITIVE LOGITS
     mortals
    0.97
     everyday
    0.97
    ordinary
    0.91
     ordinary
    0.84
     folk
    0.80
     decency
    0.80
    wealth
    0.76
    tons
    0.76
    folk
    0.75
     jo
    0.73
    Activations Density 0.045%

    No Known Activations