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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. 16664
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    Explanations

    references to specific names or terms associated with institutions or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    universities and institutions related to academic or military contexts

    oai_token-act-pair · gpt-3.5-turbo
    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
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    Negative Logits
    ************
    -0.78
    UAL
    -0.70
     Carbuncle
    -0.65
    Minecraft
    -0.65
     CPC
    -0.64
    advertisement
    -0.63
    Favorite
    -0.61
    ioxide
    -0.59
    arding
    -0.58
    perture
    -0.58
    POSITIVE LOGITS
     Ober
    1.30
    keley
    0.97
    liga
    0.93
    meyer
    0.92
    omination
    0.92
    lander
    0.91
    thal
    0.90
    stad
    0.89
    lin
    0.89
    hurst
    0.81
    Activations Density 0.007%

    No Known Activations