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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. 4-RES-JB
    11. 20140
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    Explanations

    terms associated with quality or high standards

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quality and classification in rankings or tiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Patch
    -0.79
    WAR
    -0.75
    phys
    -0.71
    Ly
    -0.71
    sten
    -0.70
    uter
    -0.69
    Psy
    -0.68
    orb
    -0.67
    \/\/
    -0.67
    TPPStreamerBot
    -0.66
    POSITIVE LOGITS
    naire
    1.03
     caliber
    0.97
    caliber
    0.79
    inois
    0.78
     talents
    0.74
     specimen
    0.70
     calib
    0.69
    smanship
    0.66
     talent
    0.65
     revolver
    0.65
    Activations Density 0.023%

    No Known Activations