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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. 2-RES-JB
    11. 9325
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    Explanations

    references to difficult or challenging experiences

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of challenging or difficult situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ellar
    -0.84
    itional
    -0.80
    rouse
    -0.72
    usable
    -0.71
    ritic
    -0.71
    ovie
    -0.70
    owntown
    -0.70
    radical
    -0.70
    pelling
    -0.70
    ependent
    -0.69
    POSITIVE LOGITS
     saga
    0.89
     ordeal
    0.84
    terness
    0.77
    quished
    0.76
     debacle
    0.75
    ional
    0.73
     Saga
    0.71
     Hath
    0.68
     REPORT
    0.68
    ESA
    0.68
    Activations Density 0.021%

    No Known Activations