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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. 6-RES-JB
    6. 17962
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    INDEX
    Explanations

    descriptive words or phrases relating to demographics and health conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific demographic groups or populations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     actionGroup
    -0.95
    Assembly
    -0.92
    ãĥķãĤ©
    -0.91
    Shut
    -0.89
    tainment
    -0.88
    ãģĨ
    -0.88
    Politics
    -0.83
    Offline
    -0.82
    lace
    -0.82
    Unity
    -0.81
    POSITIVE LOGITS
    opausal
    1.07
     undergoing
    1.06
     diagnosed
    1.05
     aged
    0.95
     enrolled
    0.93
     hormone
    0.93
     hospitalized
    0.91
     hormonal
    0.87
     studied
    0.87
     circadian
    0.86
    Activations Density 0.217%

    No Known Activations