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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. 18374
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    Explanations

    phrases related to personal stories and questions

    oai_token-act-pair · gpt-3.5-turbo

    prompts or questions that seek information or clarification

    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
     flowing
    -0.83
     sustained
    -0.82
     synerg
    -0.81
     piled
    -0.79
     downstream
    -0.79
     committed
    -0.78
     flowering
    -0.77
     funeral
    -0.76
     flavored
    -0.76
     overt
    -0.75
    POSITIVE LOGITS
    Answer
    2.23
    Well
    1.87
    Yes
    1.78
    Absolutely
    1.72
    Probably
    1.61
    Wr
    1.53
    Certainly
    1.53
    Yeah
    1.52
    Actually
    1.49
    Sure
    1.48
    Activations Density 0.202%

    No Known Activations