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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. 7-RES-JB
    11. 9472
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    Explanations

    adverbs emphasizing intensity or degree

    oai_token-act-pair · gpt-3.5-turbo

    the word "very" used to emphasize intensity or degree

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olor
    -0.78
    onis
    -0.76
    adelphia
    -0.75
    ensis
    -0.74
    amel
    -0.70
    ourses
    -0.69
    zyk
    -0.68
    iture
    -0.67
    osal
    -0.65
     Cheong
    -0.65
    POSITIVE LOGITS
     important
    0.97
     fortunate
    0.96
     difficult
    0.94
     exciting
    0.94
     busy
    0.91
     informative
    0.91
     interesting
    0.90
     rare
    0.90
     sensitive
    0.89
     nice
    0.89
    Activations Density 0.066%

    No Known Activations