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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. 9-RES-JB
    11. 1338
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    Explanations

    strings of characters that resemble metadata or structured data

    oai_token-act-pair · gpt-3.5-turbo

    colons followed by numeric or list-like information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    avement
    -0.74
    fman
    -0.68
    TPPStreamerBot
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    kh
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    Reilly
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    rek
    -0.58
    uve
    -0.58
    ury
    -0.57
    enge
    -0.56
    Beat
    -0.55
    POSITIVE LOGITS
     Unknown
    0.83
     4090
    0.75
     264
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     262
    0.74
    icent
    0.72
     412
    0.70
     TBD
    0.70
     162
    0.69
     115
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     252
    0.69
    Activations Density 0.045%

    No Known Activations