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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. 2590
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    Explanations

    proper nouns related to various entities such as companies, sports teams, and individuals

    oai_token-act-pair · gpt-3.5-turbo

    specific names of organizations, teams, or notable individuals

    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
     Learns
    -0.71
    olis
    -0.67
    WithNo
    -0.65
     Gets
    -0.60
    orio
    -0.60
    ":""},{"
    -0.57
    atur
    -0.56
     Goes
    -0.56
    fixes
    -0.56
    ãĥĦ
    -0.55
    POSITIVE LOGITS
     all
    1.60
    all
    1.22
     ALL
    1.21
    All
    1.11
    among
    0.99
     among
    0.99
     collectively
    0.95
     All
    0.94
     each
    0.93
     amongst
    0.90
    Activations Density 0.356%

    No Known Activations