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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. 24069
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    Explanations

    terms related to integration, especially in technical or organizational contexts

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "integrate" and related terms

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    etsk
    -0.69
    \\\\\\\\
    -0.68
    thur
    -0.68
     ante
    -0.65
    rpm
    -0.65
    efer
    -0.65
    akia
    -0.62
    ym
    -0.62
    FontSize
    -0.59
    ubis
    -0.59
    POSITIVE LOGITS
     into
    0.98
    rity
    0.89
     circuits
    0.86
     seamlessly
    0.85
     Into
    0.84
     INTO
    0.81
    tion
    0.78
    arity
    0.75
    ment
    0.72
    rehensive
    0.69
    Activations Density 0.064%

    No Known Activations