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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. 3-RES-JB
    11. 8253
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to reaching out for communication or contact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uploads
    -0.90
     sake
    -0.85
     alike
    -0.68
     counted
    -0.65
     followed
    -0.63
     stacking
    -0.63
     stacked
    -0.62
     tallied
    -0.61
     filler
    -0.60
    umbered
    -0.59
    POSITIVE LOGITS
    ebin
    0.89
     heights
    0.87
    unal
    0.83
    itech
    0.77
     bounds
    0.76
     depths
    0.74
    obin
    0.74
    ById
    0.73
    mediate
    0.73
    nexus
    0.72
    Activations Density 0.225%

    No Known Activations