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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. 3-RES-JB
    11. 20261
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    Explanations

    proper nouns related to politics and pharmaceuticals

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of specific names, particularly "runaway" and "Angus"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olith
    -0.89
     WARN
    -0.76
    osp
    -0.74
    ornia
    -0.72
     lining
    -0.71
    ZA
    -0.70
    YL
    -0.70
     certific
    -0.67
     Veter
    -0.66
    comed
    -0.65
    POSITIVE LOGITS
    ÙĦ
    0.85
    dress
    0.80
    mouth
    0.75
    eer
    0.75
    words
    0.74
    ÙĴ
    0.73
    match
    0.72
    اÙĦ
    0.72
    guard
    0.71
    jack
    0.71
    Activations Density 0.029%

    No Known Activations