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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    instances of the word "Nissan"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of car brands, particularly Nissan and Mitsubishi

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CLSID
    -0.85
    Ñĭ
    -0.83
    ablishment
    -0.81
    %%%%
    -0.78
    anza
    -0.77
    ctors
    -0.71
    chest
    -0.69
    cv
    -0.68
    blown
    -0.67
    lier
    -0.66
    POSITIVE LOGITS
    issan
    0.91
     Nissan
    0.86
     Motorsport
    0.79
     dealership
    0.79
    uana
    0.78
    ulic
    0.77
     Motors
    0.75
     braking
    0.72
     Mechanical
    0.69
    asaki
    0.69
    Activations Density 0.005%

    No Known Activations