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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
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    Explanations

    mentions of the brand "Motorola."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand "Motorola."

    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
    ablishment
    -0.85
    lopp
    -0.82
    alid
    -0.80
    razil
    -0.77
    eking
    -0.75
    nels
    -0.73
    umbn
    -0.72
    aum
    -0.72
    ça
    -0.71
    rian
    -0.71
    POSITIVE LOGITS
     Mobility
    1.01
     Moto
    0.90
     Motorola
    0.81
     Electronics
    0.77
     Droid
    0.76
     Wireless
    0.72
    Motor
    0.68
     contrace
    0.64
    acy
    0.62
     Motors
    0.62
    Activations Density 0.009%

    No Known Activations