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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. 9064
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    Explanations

    words related to the term "burg" which could indicate references to burgers, places like cities with "burg" in the name, or names like "Burgos."

    oai_token-act-pair · gpt-3.5-turbo

    words or references related to urgency or pressing issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¢âĢ¢
    -0.76
    words
    -0.73
     obser
    -0.59
    boards
    -0.56
    verse
    -0.56
    fty
    -0.55
     booth
    -0.54
     runner
    -0.53
    >>>>>>>>
    -0.53
    changed
    -0.53
    POSITIVE LOGITS
    undy
    1.42
    raph
    1.10
    lar
    1.05
    atory
    1.05
    dor
    0.98
    rav
    0.97
    raphics
    0.94
    urg
    0.93
    raphic
    0.91
    arden
    0.90
    Activations Density 0.046%

    No Known Activations