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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. 1-RES-JB
    11. 4933
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    INDEX
    Explanations

    mentions of financial institutions and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to financial items or terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    slow
    -0.82
    mast
    -0.72
    rooms
    -0.69
    nan
    -0.67
    yard
    -0.67
     lap
    -0.65
     Haunted
    -0.63
    nesota
    -0.62
    folk
    -0.61
     Spartan
    -0.61
    POSITIVE LOGITS
    FI
    1.25
    Fi
    0.88
    ornia
    0.88
    xtap
    0.87
    ANCE
    0.85
    zsche
    0.85
    BO
    0.84
    RE
    0.82
    REF
    0.81
    erity
    0.80
    Activations Density 0.005%

    No Known Activations