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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. 2-RES-JB
    11. 6053
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    Explanations

    the word "Mer" followed by numbers, potentially representing a specific entity or name in the context of medical treatments and related topics

    oai_token-act-pair · gpt-3.5-turbo

    references to the company Merck

    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
     Eleven
    -0.73
    »Ĵ
    -0.67
     Defendants
    -0.65
    ODUCT
    -0.62
    STD
    -0.61
    PsyNetMessage
    -0.61
    OPLE
    -0.61
     Piercing
    -0.60
     Survivors
    -0.59
     Everywhere
    -0.59
    POSITIVE LOGITS
    seys
    1.11
    cedes
    1.03
    lins
    0.97
    itism
    0.93
    ged
    0.91
    rill
    0.91
    ril
    0.90
    itus
    0.89
    itor
    0.87
    itage
    0.87
    Activations Density 0.005%

    No Known Activations