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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. 8-RES-JB
    11. 12887
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    Explanations

    personal experiences starting with "When I" statements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the pronoun "I."

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Els
    -0.69
     priceless
    -0.64
    \\\\\\\\
    -0.63
    bold
    -0.62
    $$$$
    -0.62
    INC
    -0.61
    Sharp
    -0.60
    mp
    -0.59
    ports
    -0.59
    Pres
    -0.59
    POSITIVE LOGITS
     asked
    0.86
     interviewed
    0.81
     contacted
    0.81
     confronted
    0.81
     questioned
    0.80
     approached
    0.77
     first
    0.76
     arrive
    0.75
     arrived
    0.75
     finished
    0.74
    Activations Density 0.125%

    No Known Activations