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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. 8-RES-JB
    11. 12660
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    Explanations

    phrases related to tasks or actions involving setting up networks, handling records, or creating strategies

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and phrases indicating relationships or connections between ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Prediction Features Layer 8 GPT2 Small

    No Comments

    Negative Logits
    hya
    -0.69
    scribe
    -0.64
    BAT
    -0.64
    mine
    -0.63
    ylon
    -0.63
    exist
    -0.63
    olor
    -0.63
    abul
    -0.63
    blast
    -0.61
    atl
    -0.60
    POSITIVE LOGITS
     letting
    1.44
     putting
    1.37
     distributing
    1.37
     creating
    1.35
     gaining
    1.35
     sending
    1.34
     keeping
    1.33
     finding
    1.33
     improving
    1.32
     maintaining
    1.32
    Activations Density 0.674%

    No Known Activations