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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. 2-RES-JB
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    Explanations

    the phrase "ground up."

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the word "ground."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILA
    -0.67
    volent
    -0.64
    shapeshifter
    -0.64
     Prediction
    -0.63
    ansen
    -0.61
    etics
    -0.61
     Tycoon
    -0.61
     Beware
    -0.61
     derog
    -0.59
     Suc
    -0.59
    POSITIVE LOGITS
    Ground
    0.88
    ground
    0.87
    hog
    0.85
     ground
    0.84
    rock
    0.83
    plane
    0.81
     footing
    0.79
    nut
    0.79
    spring
    0.78
     floor
    0.76
    Activations Density 0.018%

    No Known Activations