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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. 11-RES-JB
    6. 8150
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    INDEX
    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    entimes
    -0.85
     forgiven
    -0.76
     compounded
    -0.72
     accelerated
    -0.72
     allotted
    -0.71
     tumult
    -0.70
     stricter
    -0.68
     enforced
    -0.68
     suspending
    -0.68
     ramifications
    -0.67
    POSITIVE LOGITS
    Adams
    1.09
    Marie
    1.02
    Jones
    1.01
    Moore
    0.97
    Lee
    0.96
    Walker
    0.96
    Clark
    0.96
    @
    0.95
    Lyn
    0.95
    Davis
    0.94
    Activations Density 0.235%

    No Known Activations