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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. 14892
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    Explanations

    phrases that emphasize the degree or extent of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating varying levels or degrees of a particular quality or condition

    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
    ades
    -0.90
    ãĤ¼
    -0.84
    ets
    -0.83
    ade
    -0.80
    okes
    -0.79
    large
    -0.78
    zens
    -0.77
    waves
    -0.76
    parts
    -0.76
    paces
    -0.74
    POSITIVE LOGITS
     sophistication
    1.47
     abstraction
    1.34
     scrutiny
    1.33
     professionalism
    1.28
     detail
    1.26
     specificity
    1.18
     seriousness
    1.16
     difficulty
    1.15
     intensity
    1.14
     maturity
    1.14
    Activations Density 0.088%

    No Known Activations