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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. 21561
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    terms related to the Blu-ray format

    oai_token-act-pair · gpt-3.5-turbo

    references to Blu-ray

    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
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    Negative Logits
    PsyNetMessage
    -0.72
     Occupations
    -0.70
    doms
    -0.68
    Ö¼
    -0.68
    ILY
    -0.65
    noon
    -0.65
     Sweeney
    -0.64
     IMAGES
    -0.62
    ERAL
    -0.61
     Leilan
    -0.61
    POSITIVE LOGITS
    etooth
    1.49
    ewater
    1.32
    estone
    1.18
    estones
    1.05
    este
    0.92
    eno
    0.90
    eware
    0.90
    eness
    0.90
    issance
    0.88
    omore
    0.86
    Activations Density 0.011%

    No Known Activations