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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 8-RES-JB
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    Explanations

    instances of the word "cope" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "cope" and its variations, indicating themes of dealing with challenges or hardships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.78
    prints
    -0.76
    prem
    -0.68
    lav
    -0.66
    enic
    -0.64
    ĻĤ
    -0.62
    raf
    -0.60
    nic
    -0.59
     livest
    -0.59
     Benef
    -0.59
    POSITIVE LOGITS
     adequately
    0.84
    heet
    0.83
    ively
    0.79
    ptin
    0.76
     alright
    0.76
    atively
    0.72
    itely
    0.71
     cope
    0.71
     withd
    0.71
     appropriately
    0.70
    Activations Density 0.042%

    No Known Activations