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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. 5285
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    Explanations

    references to Ayn Rand's philosophy

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "can't" in various contexts

    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
     cheating
    -0.63
     Jiu
    -0.61
     Lancaster
    -0.61
     GREEN
    -0.59
     banking
    -0.58
     colonial
    -0.58
     Kus
    -0.56
     Goods
    -0.56
     Greens
    -0.56
     chunks
    -0.56
    POSITIVE LOGITS
    tal
    0.92
    imately
    0.91
    idate
    0.90
    t
    0.89
    ï¸ı
    0.89
    ivably
    0.84
    tre
    0.84
    inarily
    0.84
    eal
    0.83
    erate
    0.81
    Activations Density 0.069%

    No Known Activations