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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. 2-RES-JB
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    Explanations

    terms related to travel time or activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of travel and related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tate
    -0.75
    liga
    -0.69
    ichi
    -0.65
     dam
    -0.63
    cher
    -0.62
    aminer
    -0.61
    VID
    -0.61
     Leon
    -0.60
    sei
    -0.60
    corn
    -0.60
    POSITIVE LOGITS
     travel
    1.13
    ogue
    1.04
    travel
    1.01
     Trave
    0.90
     itiner
    0.89
     Travel
    0.88
    Travel
    0.86
     traveled
    0.85
     travelers
    0.82
     traveling
    0.82
    Activations Density 0.016%

    No Known Activations