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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. 11-RES-JB
    11. 23718
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    Explanations

    verbs related to intention or consequence

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate consequences or implications

    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
    ilan
    -0.76
    oqu
    -0.70
    atech
    -0.65
    ocobo
    -0.65
    imore
    -0.64
    pes
    -0.64
    Synopsis
    -0.63
    iseum
    -0.62
    ascus
    -0.62
    inav
    -0.60
    POSITIVE LOGITS
     that
    1.15
     goodbye
    0.90
     fewer
    0.87
     nothing
    0.87
     they
    0.85
     we
    0.82
    that
    0.82
     there
    0.80
     THAT
    0.80
     abandoning
    0.75
    Activations Density 0.081%

    No Known Activations