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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 4786
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    Explanations

    references to the name "nam" combined with specific surrounding context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "nam" and possibly variations related to names or important figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Progressive
    -0.66
     Blackwell
    -0.64
    Introduced
    -0.62
    Premium
    -0.62
     Subtle
    -0.62
    UID
    -0.61
     record
    -0.61
     cider
    -0.60
     ECB
    -0.59
    Leary
    -0.59
    POSITIVE LOGITS
    nam
    1.48
    orously
    1.12
    ned
    1.05
    eless
    1.01
    borgh
    1.00
    ilitary
    0.97
    entary
    0.94
    ukong
    0.92
    elist
    0.92
    emn
    0.90
    Activations Density 0.003%

    No Known Activations