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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. 9-RES-JB
    11. 23056
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    Explanations

    specific numbers and technical references

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the conjunction "and."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ancial
    -0.74
    anooga
    -0.74
    eers
    -0.67
    otal
    -0.66
    OTA
    -0.65
    negie
    -0.63
    ergic
    -0.63
    hesda
    -0.62
    omi
    -0.62
    Phys
    -0.59
    POSITIVE LOGITS
     onwards
    1.07
     onward
    0.99
     upwards
    0.86
     above
    0.86
     beyond
    0.84
    romeda
    0.81
     counting
    0.78
    Loading
    0.76
    rogens
    0.74
     7
    0.74
    Activations Density 0.150%

    No Known Activations