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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. 12934
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    Explanations

    phrases related to the discussion and analysis of data, information, and opinions

    oai_token-act-pair · gpt-3.5-turbo

    references to data collection or reporting procedures

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ifully
    -0.69
    hov
    -0.69
    ellig
    -0.68
    disabled
    -0.67
    IPP
    -0.64
    iva
    -0.62
    rust
    -0.60
     behaved
    -0.60
    ucci
    -0.60
     arrang
    -0.60
    POSITIVE LOGITS
     previous
    0.70
     conjunction
    0.65
     Cancel
    0.64
     booths
    0.64
     behalf
    0.63
    estone
    0.61
    ufact
    0.60
     desks
    0.59
     consultation
    0.59
     Pillar
    0.58
    Activations Density 0.364%

    No Known Activations