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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. 4-RES-JB
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    Explanations

    mentions of the name "Mart" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the name "Mart."

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

    No Comments

    Negative Logits
     deaf
    -0.82
     polarization
    -0.70
    ngth
    -0.69
     eminent
    -0.69
    uyomi
    -0.67
     Norn
    -0.67
    STD
    -0.66
    umbers
    -0.66
    OPLE
    -0.66
    EPA
    -0.65
    POSITIVE LOGITS
     Mart
    1.06
    yr
    1.01
    rod
    1.00
    oons
    0.95
    inez
    0.95
    yrs
    0.94
    ijn
    0.94
    ias
    0.93
    ell
    0.93
    inal
    0.91
    Activations Density 0.009%

    No Known Activations