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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. 1-RES-JB
    11. 7101
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    Explanations

    mentions of colleges and universities

    oai_token-act-pair · gpt-3.5-turbo

    references to colleges and universities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    byte
    -0.63
     Mü
    -0.62
    bul
    -0.61
     Kazakh
    -0.61
    tsky
    -0.59
     GOODMAN
    -0.58
    proof
    -0.58
    security
    -0.57
     IMAGES
    -0.56
     Liberation
    -0.56
    POSITIVE LOGITS
    avorite
    0.90
    ãģ®éŃĶ
    0.88
    eno
    0.84
    aneers
    0.82
    essions
    0.82
    itent
    0.80
    ieve
    0.80
    byter
    0.79
    ulhu
    0.77
    antine
    0.77
    Activations Density 0.038%

    No Known Activations