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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. 1-RES-JB
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    Explanations

    mentions of visiting places or locations

    oai_token-act-pair · gpt-3.5-turbo

    the word "visiting."

    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
    assi
    -0.79
    bra
    -0.69
    neg
    -0.66
    phabet
    -0.64
    corn
    -0.62
    stem
    -0.62
    massive
    -0.62
    dry
    -0.61
     derailed
    -0.60
    Application
    -0.60
    POSITIVE LOGITS
     visiting
    1.13
     visits
    0.99
     visitors
    0.92
     Visit
    0.85
     visitor
    0.85
     visit
    0.82
     abroad
    0.81
     visitation
    0.80
    itors
    0.77
     Guests
    0.76
    Activations Density 0.007%

    No Known Activations