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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. 13489
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    Explanations

    the brand name "Lenovo"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of electronics and technology brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
    cock
    -0.77
    ãĥ£
    -0.72
     Ruth
    -0.71
    lehem
    -0.71
    von
    -0.70
    busters
    -0.70
    LES
    -0.69
    ãĤ§
    -0.69
    ãĤ©
    -0.69
    icles
    -0.68
    POSITIVE LOGITS
     Lenovo
    1.01
    ovo
    1.01
     Asus
    0.90
    agate
    0.90
     Ide
    0.86
    etsk
    0.81
     Xiaomi
    0.79
     tailor
    0.79
    anmar
    0.78
    iage
    0.78
    Activations Density 0.018%

    No Known Activations