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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. 6-RES-JB
    11. 23756
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    Explanations

    the word "topic" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to specific subjects or themes in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ramid
    -0.73
    ardo
    -0.70
    ignt
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    igned
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    othy
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    alty
    -0.66
    hovah
    -0.66
    xon
    -0.64
    ATES
    -0.63
    arus
    -0.62
    POSITIVE LOGITS
     topics
    0.96
     Topics
    0.88
    matter
    0.87
    Topic
    0.83
     topic
    0.82
    topic
    0.79
     debated
    0.77
    Topics
    0.77
    afety
    0.77
    icular
    0.73
    Activations Density 0.027%

    No Known Activations