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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
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    Explanations

    references to the basketball player LeBron James

    oai_token-act-pair · gpt-3.5-turbo

    mentions of LeBron James

    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
    ktop
    -0.69
    biz
    -0.66
    windows
    -0.65
     behalf
    -0.64
    76561
    -0.63
    Ñı
    -0.60
    sembly
    -0.59
     CLSID
    -0.59
    Machine
    -0.58
    ATA
    -0.58
    POSITIVE LOGITS
     LeBron
    1.02
     James
    0.83
    ipedia
    0.81
    etically
    0.72
    pedia
    0.71
     jerseys
    0.69
     Carlos
    0.69
     Harden
    0.68
    ONSORED
    0.68
     Westbrook
    0.66
    Activations Density 0.009%

    No Known Activations