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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. 1-RES-JB
    11. 7129
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to weekend events or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    acet
    -0.89
    stat
    -0.83
     neglect
    -0.79
    agu
    -0.73
    mist
    -0.72
     amput
    -0.71
     lying
    -0.70
     assum
    -0.68
    oil
    -0.68
     unaccount
    -0.68
    POSITIVE LOGITS
    Tickets
    0.90
     Gleaming
    0.89
     TBA
    0.88
     TBD
    0.83
     Indigo
    0.83
    Interstitial
    0.82
    ivals
    0.82
    tyard
    0.82
    âĸ¬
    0.80
    çīĪ
    0.80
    Activations Density 1.188%

    No Known Activations