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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. 0-RES-JB
    11. 12614
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    Explanations

    words related to watering and possibly usage or over-usage

    oai_token-act-pair · gpt-3.5-turbo

    terms related to watering and rules or regulations surrounding it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     visceral
    -0.78
    agine
    -0.71
    enter
    -0.69
    sequence
    -0.68
     Fant
    -0.67
    kr
    -0.67
    Flight
    -0.66
    Crash
    -0.65
    â
    -0.65
     liberate
    -0.64
    POSITIVE LOGITS
     watering
    3.29
     watered
    2.91
     wording
    2.11
    atered
    1.57
     sprink
    1.11
     irrig
    1.11
     irrigation
    1.06
     landsc
    1.06
     phr
    1.04
    izu
    0.97
    Activations Density 0.059%

    No Known Activations