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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. 6863
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    INDEX
    Explanations

    words related to emphasizing or stressing certain points

    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate emphasizing or stressing significant information

    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
    asus
    -0.76
    lio
    -0.73
    busters
    -0.71
    DragonMagazine
    -0.69
    assic
    -0.69
    quer
    -0.67
    abases
    -0.66
    agues
    -0.65
    atri
    -0.64
    pir
    -0.64
    POSITIVE LOGITS
     importance
    1.10
     how
    0.95
     that
    0.93
     vigilance
    0.80
     similarities
    0.80
     responsibility
    0.77
     professionalism
    0.77
     differences
    0.76
     anew
    0.76
     uniqueness
    0.75
    Activations Density 0.096%

    No Known Activations