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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. 600
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    INDEX
    Explanations

    phrases related to transportation or travel

    oai_token-act-pair · gpt-3.5-turbo

    references to being on or boarding various vehicles or vessels

    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
    gem
    -0.69
     CPS
    -0.64
     middle
    -0.62
     Appeal
    -0.60
    Mand
    -0.59
     foundation
    -0.58
     Creep
    -0.57
     Smile
    -0.57
     SM
    -0.57
     grass
    -0.56
    POSITIVE LOGITS
     aboard
    3.94
     onboard
    2.27
     ashore
    2.13
     overboard
    1.49
     Starfleet
    1.22
     atop
    1.17
     disembark
    1.17
     cockpit
    1.16
    Ship
    1.14
     aft
    1.14
    Activations Density 0.009%

    No Known Activations