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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. 18553
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms associated with physiological processes and medical conditions

    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
     Grounds
    -0.78
     Benny
    -0.77
     Fool
    -0.75
     Monthly
    -0.75
     Purg
    -0.74
     Yard
    -0.72
     Manor
    -0.72
     Pagan
    -0.70
     Garage
    -0.70
    Fal
    -0.70
    POSITIVE LOGITS
    emia
    1.19
    ox
    1.18
    oxic
    1.13
    oxicity
    1.07
    osis
    1.06
    oxin
    1.06
    ogenic
    1.05
     toxin
    1.02
    otyp
    1.02
    amide
    1.01
    Activations Density 0.186%

    No Known Activations