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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. 9-RES-JB
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    Explanations

    mentions of laptops

    oai_token-act-pair · gpt-3.5-turbo

    mentions of laptops

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tale
    -0.88
    alez
    -0.74
    reek
    -0.70
     Cosponsors
    -0.70
    ulation
    -0.69
    ribune
    -0.68
    κ
    -0.67
     Lutheran
    -0.67
    UCT
    -0.65
    soDeliveryDate
    -0.64
    POSITIVE LOGITS
    aptop
    1.04
     laptops
    1.02
     laptop
    1.01
     computers
    0.92
    intosh
    0.90
     MacBook
    0.86
     PCs
    0.85
    pad
    0.84
     computer
    0.79
     CPUs
    0.79
    Activations Density 0.040%

    No Known Activations