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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. 17937
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    Explanations

    references to specific organizations, such as the BBC, NRA, and RCMP

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various organizations and governmental entities

    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
    Ô
    -0.91
    edIn
    -0.85
    sbm
    -0.76
    etimes
    -0.73
    ãĤ¨ãĥ«
    -0.71
    Ear
    -0.70
    hots
    -0.68
    ufact
    -0.68
    perse
    -0.66
    tions
    -0.66
    POSITIVE LOGITS
     itself
    1.01
    's
    0.87
     Gazette
    0.80
    ousel
    0.78
     hierarchy
    0.77
     Accountability
    0.76
     Museum
    0.71
     logo
    0.71
     playbook
    0.70
     bureaucracy
    0.69
    Activations Density 0.329%

    No Known Activations