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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. 10-RES-JB
    11. 18682
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    Explanations

    particular characters that seem to be separators or special markers in the document

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing significant events or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     inactive
    -0.77
     engagement
    -0.76
     proport
    -0.75
     engagements
    -0.75
     citiz
    -0.73
     instit
    -0.72
     pan
    -0.72
     imperson
    -0.71
     diving
    -0.69
     duty
    -0.69
    POSITIVE LOGITS
    ³³³³³³³³
    1.14
    Article
    1.08
    Photo
    1.02
    ³³³
    1.02
    Consider
    1.01
    SHARE
    1.01
    ³³³³
    1.00
    Enlarge
    0.98
    ³³³³³³³³³³³³³³³³
    0.98
    Fans
    0.97
    Activations Density 0.437%

    No Known Activations