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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. 5088
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    Explanations

    phrases related to post-situation analysis and discussions

    oai_token-act-pair · gpt-3.5-turbo

    discussions or comments that emphasize a sense of contradiction or contrasting perspectives

    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
    Attach
    -0.65
    ogged
    -0.62
    ibur
    -0.62
    illance
    -0.60
    unction
    -0.60
    tracking
    -0.59
     improved
    -0.58
     rein
    -0.58
    inventoryQuantity
    -0.58
     redesigned
    -0.58
    POSITIVE LOGITS
    Others
    1.07
     Others
    0.98
     Few
    0.96
     Many
    0.88
    many
    0.84
     theirs
    0.83
    Many
    0.83
     many
    0.81
     few
    0.80
     Most
    0.80
    Activations Density 0.583%

    No Known Activations