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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 9035
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     prevailing
    -0.84
     dividing
    -0.76
     plur
    -0.72
    pins
    -0.69
    alty
    -0.68
    uten
    -0.66
    utenberg
    -0.66
    fram
    -0.65
    thritis
    -0.64
    contact
    -0.63
    POSITIVE LOGITS
    VM
    1.19
     VM
    1.02
    GPU
    0.94
    kernel
    0.91
    OS
    0.90
    MC
    0.89
    UX
    0.86
    DAQ
    0.84
    igrate
    0.83
    OST
    0.83
    Activations Density 0.007%

    No Known Activations