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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17260
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    Explanations

    words related to empowerment and empowering actions

    oai_token-act-pair · gpt-3.5-turbo

    concepts and discussions related to empowerment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    patch
    -0.83
     Canaver
    -0.77
    ×IJ
    -0.75
    den
    -0.72
    hiba
    -0.70
    Son
    -0.66
    NEY
    -0.66
     Goo
    -0.64
    chal
    -0.64
    hound
    -0.63
    POSITIVE LOGITS
    ments
    1.00
    Reviewer
    0.83
    ment
    0.82
    ittees
    0.76
    mentation
    0.75
     empower
    0.74
    MENTS
    0.73
    EStream
    0.73
     empowered
    0.72
    iences
    0.72
    Activations Density 0.013%

    No Known Activations