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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. 4-RES-JB
    11. 1447
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    Explanations

    terms related to disturbances or distractions in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disturbances and distractions

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

    No Comments

    Negative Logits
    ongyang
    -0.86
    mers
    -0.82
    ric
    -0.82
    zona
    -0.80
    estone
    -0.78
    rica
    -0.78
    cop
    -0.77
    zin
    -0.77
    ovie
    -0.76
    nda
    -0.76
    POSITIVE LOGITS
     thereof
    0.89
     inconvenience
    0.81
     incurred
    0.80
     inconven
    0.79
     arising
    0.75
     stemming
    0.75
     arose
    0.72
     caused
    0.72
     outage
    0.71
     thereto
    0.69
    Activations Density 0.021%

    No Known Activations