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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. 12-RES-JB
    11. 2861
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    Explanations

    adverbs intensifying the degree of a quality or action

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    intensity or degree modifiers, particularly words expressing varying levels of emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    ãĥ¼ãĥĨãĤ£
    -0.83
    enhagen
    -0.81
    å°Ĩ
    -0.77
    answered
    -0.74
    EStream
    -0.73
    ULTS
    -0.72
    ONSORED
    -0.72
    onis
    -0.72
    è¦ļéĨĴ
    -0.71
    ipes
    -0.71
    POSITIVE LOGITS
     subjective
    1.02
     forgiving
    0.93
     similar
    0.90
     uncommon
    0.89
     elastic
    0.88
     simplistic
    0.88
     heter
    0.88
     neb
    0.87
     versatile
    0.86
     rare
    0.86
    Activations Density 0.132%

    No Known Activations