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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. 10-RES-JB
    11. 6025
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sburg
    -0.81
    runner
    -0.80
    downs
    -0.76
    runners
    -0.75
    nings
    -0.73
    à¥
    -0.70
    Ĥİ
    -0.70
    down
    -0.68
    antine
    -0.68
    falls
    -0.65
    POSITIVE LOGITS
     servicing
    0.84
     specialize
    0.83
     specializes
    0.77
     expertise
    0.77
     services
    0.76
     specializing
    0.75
     Excellence
    0.74
    ategor
    0.73
     specialized
    0.73
     training
    0.72
    Activations Density 0.053%

    No Known Activations