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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. 6-RES-JB
    11. 493
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Wonderland
    -0.63
    ा
    -0.57
     SERV
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    etheus
    -0.54
    ãĥĺ
    -0.53
    puter
    -0.53
     Jeanne
    -0.53
    taboola
    -0.52
    theless
    -0.52
     slaves
    -0.51
    POSITIVE LOGITS
    orah
    0.61
    oyal
    0.60
    arnaev
    0.58
    react
    0.57
    Sax
    0.55
    alion
    0.55
    vae
    0.55
    padding
    0.54
    iev
    0.53
    zinski
    0.53
    Activations Density 1.563%

    No Known Activations