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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. 11-RES-JB
    11. 5141
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    Explanations

    phrases related to oil pipelines and their infrastructure

    oai_token-act-pair · gpt-3.5-turbo

    references to pipelines and related infrastructure issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    usc
    -0.79
    abilia
    -0.78
    orian
    -0.78
    orians
    -0.71
     Acer
    -0.69
     Schwarz
    -0.69
    oice
    -0.69
    lear
    -0.66
    arist
    -0.66
    eanor
    -0.65
    POSITIVE LOGITS
     rupture
    0.92
     connecting
    0.89
     rupt
    0.88
     bottleneck
    0.84
     transporting
    0.84
     route
    0.84
     pipelines
    0.84
     conduit
    0.83
     pipeline
    0.79
     condu
    0.78
    Activations Density 0.034%

    No Known Activations