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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. 18874
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    INDEX
    Explanations

    phrases related to taking action or making efforts towards achieving a goal

    oai_token-act-pair · gpt-3.5-turbo

    the word "to" and its frequent usage in different contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    prem
    -0.73
     Klu
    -0.72
    zynski
    -0.69
     Used
    -0.65
     Spending
    -0.61
     Kau
    -0.61
     Kop
    -0.61
     Expend
    -0.60
     Choice
    -0.59
     Usage
    -0.58
    POSITIVE LOGITS
     improve
    1.50
     alleviate
    1.46
     mitigate
    1.43
     ensure
    1.39
     minimize
    1.38
     enhance
    1.36
     lessen
    1.31
     promote
    1.30
     prevent
    1.28
     counteract
    1.26
    Activations Density 0.150%

    No Known Activations