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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. 9-RES-JB
    11. 23578
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    Explanations

    phrases indicating accomplishment, success, or ability to overcome challenges

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "able" indicating proficiency or capability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rium
    -0.67
     Parents
    -0.67
     Nose
    -0.65
     Disease
    -0.58
    email
    -0.57
    bour
    -0.57
     Tradition
    -0.57
     Sins
    -0.57
    negative
    -0.56
    bug
    -0.56
    POSITIVE LOGITS
    bodied
    1.00
    't
    0.80
     afford
    0.78
    ioned
    0.76
    adoes
    0.74
     successfully
    0.73
    onnaissance
    0.73
     to
    0.69
     withstand
    0.69
    istically
    0.69
    Activations Density 0.049%

    No Known Activations