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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. 2-RES-JB
    11. 6460
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    mentions of specific computer graphics cards (specifically Radeon 9 series and GeForce 5 series)

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ocrates
    -0.84
     stricken
    -0.78
     hosp
    -0.78
    idy
    -0.78
    oli
    -0.77
    enny
    -0.75
    izabeth
    -0.72
    aryn
    -0.72
    othe
    -0.71
    axter
    -0.70
    POSITIVE LOGITS
     RTX
    1.13
     GTX
    0.94
    PDATE
    0.93
    ãĤº
    0.93
     Radeon
    0.86
    itialized
    0.86
     RX
    0.83
     GeForce
    0.82
     DirectX
    0.81
     GPUs
    0.81
    Activations Density 0.007%

    No Known Activations