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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. 5296
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    Explanations

    questions and moralistic statements ending with question marks

    oai_token-act-pair · gpt-3.5-turbo

    questions or inquiries, particularly those seeking opinions or feedback

    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
    isse
    -0.70
    issa
    -0.60
    olis
    -0.59
    iton
    -0.57
     recons
    -0.56
    ienne
    -0.55
    >:
    -0.55
    Initially
    -0.55
    awa
    -0.55
    gue
    -0.54
    POSITIVE LOGITS
    These
    1.01
    these
    0.90
     THESE
    0.82
     these
    0.81
     foregoing
    0.79
     These
    0.77
     psychedel
    0.73
     none
    0.71
    None
    0.68
    chedel
    0.67
    Activations Density 1.774%

    No Known Activations