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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. 0-RES-JB
    11. 13114
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    Explanations

    phrases related to academic lectures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of lectures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Chain
    -0.85
     eligibility
    -0.69
    ARA
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    Ĥª
    -0.64
    enders
    -0.64
    vernight
    -0.63
    ansas
    -0.63
     Border
    -0.62
    ãģ®éŃĶ
    -0.62
    luck
    -0.62
    POSITIVE LOGITS
     Lect
    3.48
     lecture
    3.20
     lectures
    3.17
     lect
    2.59
     lecturer
    2.01
     sermon
    1.83
     seminar
    1.62
     seminars
    1.59
     keynote
    1.52
     TED
    1.42
    Activations Density 0.024%

    No Known Activations