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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. 23061
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    Explanations

    expressions of excitement or enthusiasm

    oai_token-act-pair · gpt-3.5-turbo

    expressions of excitement

    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
    putable
    -0.69
    iciency
    -0.58
     defic
    -0.58
     detrim
    -0.57
     agre
    -0.55
    uti
    -0.55
     culp
    -0.55
     flaw
    -0.53
     conclud
    -0.52
    Wr
    -0.52
    POSITIVE LOGITS
     about
    1.29
     ABOUT
    1.03
    about
    1.03
    About
    1.01
     About
    0.99
    ly
    0.98
     bout
    0.85
    lead
    0.79
    LY
    0.77
    antic
    0.77
    Activations Density 0.065%

    No Known Activations