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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
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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 @ 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
    ablishment
    -0.82
    alid
    -0.80
    lopp
    -0.79
    eking
    -0.71
    ombs
    -0.70
    eb
    -0.69
    rian
    -0.68
    razil
    -0.68
    mission
    -0.68
    aum
    -0.67
    POSITIVE LOGITS
     Motorola
    1.01
     Moto
    0.94
     Mobility
    0.94
     Droid
    0.78
    Motor
    0.73
     contrace
    0.72
     Electronics
    0.70
    awei
    0.70
    puter
    0.69
     phones
    0.68
    Activations Density 0.006%

    No Known Activations