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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. 9-RES-JB
    11. 1405
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    Explanations

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ashtra
    -0.65
     Phant
    -0.61
     Colossus
    -0.60
     thirds
    -0.59
     Rails
    -0.57
     Christensen
    -0.57
     Axel
    -0.55
     Rampage
    -0.55
     reckoning
    -0.55
    ©¶æ
    -0.54
    POSITIVE LOGITS
    urai
    0.90
    nces
    0.88
    isal
    0.87
    ibo
    0.84
    illin
    0.77
    enza
    0.77
    urable
    0.76
    atre
    0.75
    ential
    0.74
    ances
    0.73
    Activations Density 0.193%

    No Known Activations