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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. 5-RES-JB
    6. 381
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    Explanations

    terms related to announcements, news, and information dissemination

    oai_token-act-pair · gpt-3.5-turbo

    terms related to news and data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lees
    -0.77
    riages
    -0.74
    awatts
    -0.71
    ernels
    -0.70
    nings
    -0.68
    Americans
    -0.68
    waves
    -0.67
    chens
    -0.67
     dads
    -0.65
    rices
    -0.65
    POSITIVE LOGITS
     standpoint
    0.94
     agent
    0.88
     advisory
    0.85
     counselor
    0.82
     regime
    0.80
    icer
    0.80
     program
    0.79
     outlet
    0.79
     bubble
    0.78
     department
    0.78
    Activations Density 0.472%

    No Known Activations