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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. 4-RES-JB
    11. 7028
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    Explanations

    references to Blu-ray technology

    oai_token-act-pair · gpt-3.5-turbo

    references to Blu-ray discs and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ö¼
    -0.73
    flies
    -0.71
    ILY
    -0.67
    ammad
    -0.64
    ERAL
    -0.63
    DAY
    -0.61
     Occupations
    -0.61
    NYSE
    -0.60
     compounded
    -0.60
     equations
    -0.59
    POSITIVE LOGITS
    etooth
    1.32
    ewater
    1.11
    estone
    1.03
    eness
    0.92
    estones
    0.91
    eno
    0.91
    omore
    0.90
    ement
    0.84
    eway
    0.79
    ridge
    0.78
    Activations Density 0.005%

    No Known Activations