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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. 7-RES-JB
    11. 4905
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    Explanations

    verbs related to physical actions and skills

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with sports performance and abilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     precaution
    -0.77
    çīĪ
    -0.73
    JM
    -0.71
    saf
    -0.71
    é¾į
    -0.70
    ourning
    -0.68
    Sad
    -0.66
    displayText
    -0.66
    OSED
    -0.66
    giene
    -0.66
    POSITIVE LOGITS
     efficiently
    0.99
     intellig
    0.90
     effortlessly
    0.85
     reliably
    0.84
     multiple
    0.77
     withstand
    0.76
     easily
    0.75
    apesh
    0.75
     superhuman
    0.73
    amina
    0.72
    Activations Density 0.387%

    No Known Activations