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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. 11337
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    Explanations

    references to control over or decision-making about something

    oai_token-act-pair · gpt-3.5-turbo

    references to executive decisions or actions related to business operations

    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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    Negative Logits
    Ļ½
    -0.79
    anooga
    -0.78
    wagen
    -0.77
    ģ«
    -0.73
    byter
    -0.68
    WHO
    -0.66
    Sov
    -0.65
    hner
    -0.64
    pei
    -0.64
    ESCO
    -0.64
    POSITIVE LOGITS
     its
    1.19
     Its
    1.15
    their
    1.06
     their
    0.99
    Its
    0.96
     itself
    0.93
     THEIR
    0.93
     Their
    0.91
     themselves
    0.90
     ITS
    0.88
    Activations Density 0.676%

    No Known Activations