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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. 15835
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    Explanations

    mentions of helicopters

    oai_token-act-pair · gpt-3.5-turbo

    references to musical elements or related contexts

    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
    AMI
    -0.88
    PORT
    -0.86
    HCR
    -0.85
    ORN
    -0.85
    IRO
    -0.82
    externalActionCode
    -0.79
    ashtra
    -0.79
    DEF
    -0.78
    BE
    -0.77
    CLASSIFIED
    -0.77
    POSITIVE LOGITS
     cho
    1.26
    ppy
    1.00
    pper
    0.88
    onen
    0.80
    ¸
    0.79
    ppers
    0.78
    ptic
    0.78
    ipper
    0.76
     darn
    0.76
    etary
    0.76
    Activations Density 0.012%

    No Known Activations