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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. 14032
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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
    Not in Any Lists

    No Comments

    Negative Logits
    reon
    -0.87
     locom
    -0.75
    oche
    -0.68
     concess
    -0.65
    imm
    -0.64
     exerc
    -0.62
     Cheong
    -0.62
     astronaut
    -0.61
     latter
    -0.60
     astronauts
    -0.60
    POSITIVE LOGITS
    unia
    0.90
    terness
    0.86
    enance
    0.84
     Drawn
    0.81
    cipline
    0.80
    nesses
    0.80
    upid
    0.78
    arenthood
    0.73
    apego
    0.73
    hower
    0.73
    Activations Density 0.061%

    No Known Activations