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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. 3-RES-JB
    11. 15902
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    Explanations

    keywords related to political discussions about building a wall

    oai_token-act-pair · gpt-3.5-turbo

    references to a wall

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Gene
    -0.77
    lihood
    -0.67
    Pacific
    -0.66
    istrates
    -0.64
    forward
    -0.64
    CENT
    -0.64
    cence
    -0.64
    milo
    -0.63
    hift
    -0.63
     Taste
    -0.62
    POSITIVE LOGITS
    aby
    1.08
    abies
    1.08
    papers
    1.06
     wall
    0.98
    clock
    0.89
     walls
    0.86
    top
    0.83
     wart
    0.80
    tops
    0.79
     wallpaper
    0.77
    Activations Density 0.012%

    No Known Activations