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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. 11-RES-JB
    11. 549
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    Explanations

    references to the brand "Ford."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company "Ford."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.69
    /-
    -0.69
     quo
    -0.67
    udic
    -0.67
     paras
    -0.66
     Sakuya
    -0.65
    apses
    -0.62
     surfing
    -0.61
     ASUS
    -0.61
     Artemis
    -0.60
    POSITIVE LOGITS
    ham
    1.14
     Motor
    1.05
     Mustang
    0.95
     Fiesta
    0.92
    ragon
    0.86
    Ford
    0.84
    Fax
    0.81
    shire
    0.79
     Shelby
    0.79
     Focus
    0.77
    Activations Density 0.026%

    No Known Activations