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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. 3-RES-JB
    11. 5505
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    Explanations

    references to things that are popular

    oai_token-act-pair · gpt-3.5-turbo

    references to popularity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    thur
    -0.89
    heed
    -0.82
     Kear
    -0.76
    aca
    -0.73
    ourke
    -0.70
    avery
    -0.69
    avier
    -0.68
    ural
    -0.67
     ashamed
    -0.65
    border
    -0.65
    POSITIVE LOGITS
    popular
    0.95
     popular
    0.84
    ised
    0.82
    ized
    0.81
    isations
    0.77
     enterprises
    0.77
    izing
    0.74
     Popular
    0.73
    ity
    0.72
    izations
    0.72
    Activations Density 0.019%

    No Known Activations