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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20374
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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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    No Comments

    Negative Logits
    nings
    -0.94
     Flavoring
    -0.84
    awaru
    -0.83
     mathemat
    -0.82
    merce
    -0.74
     contrace
    -0.74
     millenn
    -0.73
    ciating
    -0.73
    thood
    -0.70
    kef
    -0.69
    POSITIVE LOGITS
    ãĤ¡
    1.16
    urn
    0.83
    ople
    0.79
    inx
    0.78
    ι
    0.76
    ر
    0.76
    ¹
    0.71
    ogen
    0.70
    Ku
    0.70
    naire
    0.70
    Activations Density 0.012%

    No Known Activations