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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 6987
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    Explanations

    phrases related to discussing or talking about various topics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "about."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    cue
    -0.90
     teasp
    -0.87
    kie
    -0.81
    terness
    -0.80
    retty
    -0.79
    quez
    -0.78
    à¼
    -0.78
    ngth
    -0.76
    signed
    -0.75
    ulum
    -0.74
    POSITIVE LOGITS
     how
    1.33
     wanting
    1.15
     needing
    1.07
     why
    1.07
     whether
    1.02
     reforming
    0.93
     overcoming
    0.92
     improving
    0.89
     encountering
    0.85
     disappearing
    0.84
    Activations Density 0.231%

    No Known Activations