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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. 4-RES-JB
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    Explanations

    words and phrases related to empowerment

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to empowerment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    patch
    -0.76
     Canaver
    -0.75
     Goo
    -0.75
    ×IJ
    -0.74
    den
    -0.72
     McA
    -0.69
    ago
    -0.68
    hiba
    -0.67
    NEY
    -0.65
    ysis
    -0.64
    POSITIVE LOGITS
    ments
    0.97
     empower
    0.86
     empowered
    0.85
    ment
    0.79
    iences
    0.79
    icative
    0.78
    EStream
    0.78
     empowerment
    0.76
    tackle
    0.76
    ierrez
    0.75
    Activations Density 0.013%

    No Known Activations