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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. 7-RES-JB
    11. 4095
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    Explanations

    references to the 21st century

    oai_token-act-pair · gpt-3.5-turbo

    references to the 21st century

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     externalToEVAOnly
    -0.86
    aneous
    -0.82
    ensional
    -0.78
    atics
    -0.71
    riages
    -0.70
    ulously
    -0.70
     Polo
    -0.70
    outed
    -0.69
    odied
    -0.68
    ochemical
    -0.67
    POSITIVE LOGITS
    st
    1.33
    nect
    0.75
    istries
    0.74
    eous
    0.74
    ĨĴ
    0.73
    es
    0.71
    âģ
    0.71
    onsense
    0.70
    worthy
    0.70
    naire
    0.70
    Activations Density 0.074%

    No Known Activations