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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. 8-RES-JB
    11. 10102
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    Explanations

    phrases related to confusion and misunderstanding

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to confusion or misunderstanding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ources
    -0.77
    builders
    -0.76
    places
    -0.75
     centres
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     industries
    -0.74
    hops
    -0.72
    pires
    -0.71
     establishments
    -0.70
     institutions
    -0.70
     organisations
    -0.69
    POSITIVE LOGITS
     apology
    0.92
     certificate
    0.88
     endorsement
    0.85
     badge
    0.80
     haircut
    0.79
     licence
    0.79
    icum
    0.77
    oscope
    0.77
     cameo
    0.75
     berth
    0.75
    Activations Density 0.826%

    No Known Activations