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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. 8-RES-JB
    11. 12259
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    Explanations

    references to Blu-ray technology

    oai_token-act-pair · gpt-3.5-turbo

    references to Blu-ray discs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    PsyNetMessage
    -0.76
    noon
    -0.74
     Occupations
    -0.71
    70710
    -0.69
     prevailing
    -0.69
     oblig
    -0.65
    anse
    -0.62
    ablishment
    -0.61
    doms
    -0.61
     Sweeney
    -0.61
    POSITIVE LOGITS
    etooth
    1.46
    ewater
    1.30
    estone
    1.17
    estones
    1.00
    eware
    1.00
    eno
    0.95
    este
    0.88
    eness
    0.86
    em
    0.86
    issance
    0.85
    Activations Density 0.014%

    No Known Activations