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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. 14426
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    terms related to technology and systems integration

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of integration

    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
    rpm
    -0.76
    thur
    -0.68
    etsk
    -0.68
    ym
    -0.67
    \\\\\\\\
    -0.65
     rpm
    -0.62
     cough
    -0.62
    efer
    -0.62
    zzy
    -0.62
    yers
    -0.61
    POSITIVE LOGITS
     into
    0.86
     seamlessly
    0.83
     integration
    0.80
     Into
    0.80
     INTO
    0.79
     circuits
    0.78
    rehensive
    0.75
    rity
    0.74
     integrating
    0.73
     integrates
    0.72
    Activations Density 0.027%

    No Known Activations