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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. 13449
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    Explanations

    references to progress or change over time

    oai_token-act-pair · gpt-3.5-turbo

    terms related to significant changes or transformations

    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
    iru
    -0.68
    ãĥª
    -0.62
    oval
    -0.60
    ))))
    -0.57
    irit
    -0.56
     Tycoon
    -0.54
    reat
    -0.53
    ennis
    -0.53
    IDS
    -0.53
    vice
    -0.52
    POSITIVE LOGITS
     lately
    1.87
     since
    1.70
    since
    1.21
     recently
    1.09
     hitherto
    1.02
     Since
    0.99
    Since
    0.98
     throughout
    0.92
     thus
    0.88
     recent
    0.86
    Activations Density 0.789%

    No Known Activations