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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. 3-RES-JB
    11. 20941
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sburg
    -0.90
    wana
    -0.86
    sburgh
    -0.78
    raltar
    -0.78
    otle
    -0.77
    holding
    -0.76
    utics
    -0.74
    rotein
    -0.73
     Clicker
    -0.68
    ancies
    -0.68
    POSITIVE LOGITS
    âĶĢâĶĢ
    0.88
    ifa
    0.80
    ãĥŀ
    0.79
    ptoms
    0.76
    ा
    0.76
    posium
    0.75
    ãĥ£
    0.72
    othe
    0.71
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.71
    iso
    0.71
    Activations Density 0.005%

    No Known Activations