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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. 2349
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    Explanations

    mentions of small amounts or lack of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating uncertainty or lack of quantity

    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
     Tycoon
    -0.67
     ado
    -0.67
    ulhu
    -0.67
     horizont
    -0.64
     Romeo
    -0.63
    itect
    -0.61
    ansas
    -0.59
    aram
    -0.57
     pled
    -0.56
     Aires
    -0.56
    POSITIVE LOGITS
     nonexistent
    1.09
    leans
    0.89
    moderate
    0.83
    existent
    0.83
     nil
    0.82
    lean
    0.80
    nery
    0.78
     negligible
    0.77
    no
    0.75
     moderate
    0.74
    Activations Density 0.053%

    No Known Activations