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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. 11-RES-JB
    11. 14556
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    oai_token-act-pair · gpt-3.5-turbo

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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ela
    -0.68
    ilan
    -0.66
    oros
    -0.63
    osponsors
    -0.59
    000000
    -0.59
    66666666
    -0.58
     Trin
    -0.57
    ipel
    -0.56
    pty
    -0.54
    0000000000000000
    -0.53
    POSITIVE LOGITS
     hardest
    1.97
     heaviest
    1.96
     most
    1.95
    iest
    1.95
     longest
    1.88
     strongest
    1.88
    est
    1.86
     greatest
    1.86
     toughest
    1.85
     quickest
    1.82
    Activations Density 1.105%

    No Known Activations