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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. 3-RES-JB
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    Explanations

    references to the brand "Ferrari."

    oai_token-act-pair · gpt-3.5-turbo

    references to the Ferrari brand and its related products

    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
    ablishment
    -0.90
    orative
    -0.90
    umbn
    -0.81
    EEK
    -0.74
    surv
    -0.73
    itcher
    -0.72
    krit
    -0.71
    retched
    -0.70
    cript
    -0.69
     Hemp
    -0.69
    POSITIVE LOGITS
     Ferrari
    0.94
     458
    0.83
     parked
    0.79
     Ferr
    0.77
     dealership
    0.75
    illo
    0.75
     Dino
    0.74
     Fior
    0.71
     capacitor
    0.69
    ucci
    0.68
    Activations Density 0.008%

    No Known Activations