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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. 9-RES-JB
    11. 17701
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    Explanations

    phrases indicating a potential outcome or possibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential outcomes or possibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Vision
    -0.61
     Balanced
    -0.60
    ainment
    -0.60
    cies
    -0.60
     honors
    -0.59
    gaard
    -0.58
    raint
    -0.58
    OTO
    -0.57
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.55
    AME
    -0.55
    POSITIVE LOGITS
     feas
    1.35
     conce
    1.20
     potentially
    1.17
     theoretically
    1.10
     possibly
    1.06
     be
    1.04
     someday
    1.02
     hypot
    1.02
    ivably
    0.99
    yip
    0.99
    Activations Density 0.109%

    No Known Activations