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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. 18039
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    INDEX
    Explanations

    statements emphasizing or highlighting specific information

    oai_token-act-pair · gpt-3.5-turbo

    expressions of urgency or concern

    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
    DragonMagazine
    -1.04
    busters
    -0.86
    lio
    -0.78
    iop
    -0.77
    izons
    -0.76
    kie
    -0.75
    ãĥ¼ãĥ«
    -0.74
    ä½ľ
    -0.74
    asus
    -0.69
    cffffcc
    -0.69
    POSITIVE LOGITS
     importance
    1.04
     urgency
    0.92
     purity
    0.86
     caution
    0.85
     simplicity
    0.84
     individuality
    0.83
     uniqueness
    0.82
     professionalism
    0.82
     durability
    0.80
     teamwork
    0.80
    Activations Density 0.050%

    No Known Activations