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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. 1-RES-JB
    11. 10296
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    Explanations

    words related to the action of watering

    oai_token-act-pair · gpt-3.5-turbo

    terms related to watering and irrigation practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oppable
    -0.81
    ebin
    -0.75
    utan
    -0.74
    alde
    -0.73
    iliary
    -0.71
    robat
    -0.70
    rane
    -0.70
    hma
    -0.69
    emort
    -0.69
     Annotations
    -0.68
    POSITIVE LOGITS
     watering
    1.28
     watered
    0.86
     Hort
    0.83
    issance
    0.71
     cooler
    0.69
    adow
    0.69
     sprink
    0.68
     Mama
    0.65
    colour
    0.65
    ¥µ
    0.65
    Activations Density 0.019%

    No Known Activations