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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. 11-RES-JB
    11. 2279
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    Explanations

    phrases related to check-in procedures and activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to check-in processes and logistical arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    APH
    -0.83
    ãĥ¥
    -0.82
    Found
    -0.76
    ãĥĥãĥī
    -0.75
    wordpress
    -0.74
    ONEY
    -0.73
    BIL
    -0.72
    cms
    -0.71
    IGHTS
    -0.71
    cutting
    -0.70
    POSITIVE LOGITS
     period
    0.98
     date
    0.84
     effect
    0.83
     ceremony
    0.78
     mentality
    0.78
     clause
    0.78
     event
    0.77
     scenario
    0.76
     artist
    0.76
     affair
    0.75
    Activations Density 0.182%

    No Known Activations