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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. 7-RES-JB
    11. 20587
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     exha
    -0.68
     isolate
    -0.62
    interstitial
    -0.62
     satell
    -0.59
     arrang
    -0.57
     active
    -0.57
    itiz
    -0.56
     surpr
    -0.56
     flank
    -0.56
    iets
    -0.56
    POSITIVE LOGITS
    ï¸ı
    1.02
    lished
    0.88
    Ö¼
    0.75
    ================================================================
    0.74
    ulhu
    0.71
    ONSORED
    0.71
    _-
    0.70
    lux
    0.70
    -----------
    0.69
    IVERS
    0.68
    Activations Density 0.161%

    No Known Activations