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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. 8-RES-JB
    11. 782
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    Explanations

    proper nouns such as names of presidents and countries

    oai_token-act-pair · gpt-3.5-turbo

    references to groups or categories of people or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.85
    Ô
    -0.77
    potion
    -0.73
    video
    -0.73
    ãĥŁ
    -0.72
    ãĤ©
    -0.70
    bucks
    -0.70
    ivation
    -0.66
    factor
    -0.66
    dule
    -0.65
    POSITIVE LOGITS
     both
    1.09
     various
    1.04
     several
    0.88
     numerous
    0.87
     each
    0.83
     innumerable
    0.83
     dozens
    0.80
     varying
    0.80
     cities
    0.79
     towns
    0.78
    Activations Density 0.481%

    No Known Activations