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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. 17427
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    Explanations

    the word "a" followed by various words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a"

    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
    -$
    -0.66
    Background
    -0.65
    picking
    -0.64
    advertisement
    -0.64
     salaries
    -0.62
    Discuss
    -0.61
     rebounds
    -0.60
     Conservatives
    -0.59
    Strength
    -0.59
    CEO
    -0.59
    POSITIVE LOGITS
    urat
    0.92
     este
    0.91
    lez
    0.90
     tu
    0.89
     pas
    0.86
    vez
    0.86
    nda
    0.84
    ñ
    0.83
    ño
    0.83
     tremend
    0.83
    Activations Density 0.067%

    No Known Activations