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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. 14434
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    Explanations

    concepts related to the flow of objects or information

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of flow in various contexts

    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
    avez
    -0.65
     scratched
    -0.65
     Telescope
    -0.63
     irrad
    -0.63
     Bav
    -0.63
     Schwarzenegger
    -0.62
    ifications
    -0.60
     settlers
    -0.60
    Ü
    -0.59
    MENT
    -0.59
    POSITIVE LOGITS
    chart
    1.40
    flow
    0.98
    sheet
    0.93
    ered
    0.91
     flowing
    0.90
    through
    0.89
    flows
    0.89
    efully
    0.88
    sheets
    0.88
    stream
    0.88
    Activations Density 0.045%

    No Known Activations