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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. 832
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    Explanations

    phrases or sentences containing a repeated sequence of characters, likely indicating potential errors in the text

    oai_token-act-pair · gpt-3.5-turbo

    indications of intensity or emphasis in statements

    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
     Leilan
    -0.66
     flats
    -0.63
     Skydragon
    -0.60
     naming
    -0.59
     Fu
    -0.58
     Imperial
    -0.57
    senal
    -0.55
     landowners
    -0.55
     murd
    -0.55
     adversaries
    -0.55
    POSITIVE LOGITS
    ³³³³³³³³³³³³³³³³
    0.77
    ³³³
    0.77
    ↵
    0.75
    ̶
    0.73
    posted
    0.72
    ever
    0.71
    yet
    0.70
    until
    0.69
    database
    0.69
    fax
    0.68
    Activations Density 0.169%

    No Known Activations