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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. 3-RES-JB
    11. 13416
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    Explanations

    references to specific public services or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to public organizations or institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.93
    kson
    -0.84
    wered
    -0.78
    ï¸
    -0.75
    ikawa
    -0.74
    vell
    -0.73
    daq
    -0.72
    IRD
    -0.72
    oldemort
    -0.71
    umar
    -0.70
    POSITIVE LOGITS
     Accountability
    0.84
     Affairs
    0.80
     Policy
    0.79
    policy
    0.79
     Public
    0.76
     Transportation
    0.73
     affairs
    0.72
     relations
    0.71
    izing
    0.71
     Ethics
    0.71
    Activations Density 0.037%

    No Known Activations