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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. 0-RES-JB
    11. 9924
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    Explanations

    terms related to ferries and transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to ferries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eka
    -0.82
    SQL
    -0.74
     Cloud
    -0.72
    Dialog
    -0.71
    ocrats
    -0.71
    statement
    -0.69
    00000000
    -0.68
    Pause
    -0.68
     Startup
    -0.68
     Clouds
    -0.67
    POSITIVE LOGITS
     fer
    4.01
    Fer
    2.08
     Fer
    1.94
     ferry
    1.55
    fer
    1.26
     Ferry
    1.15
     iron
    1.08
     feral
    0.99
     magnet
    0.98
     pier
    0.98
    Activations Density 0.021%

    No Known Activations