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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. 20527
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    INDEX
    Explanations

    mentions of "jet" aircraft or related technology

    oai_token-act-pair · gpt-3.5-turbo

    references to jets and their related contexts

    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
    shall
    -0.73
    ealous
    -0.73
     Root
    -0.69
     Livingston
    -0.69
     Rollins
    -0.67
     Vill
    -0.67
     Votes
    -0.67
    encing
    -0.66
     Martinez
    -0.66
    Corn
    -0.65
    POSITIVE LOGITS
     jet
    3.73
     jets
    2.86
    jet
    2.22
     Jet
    2.17
    Jet
    2.14
     plane
    1.95
     planes
    1.74
     airplane
    1.60
     airliner
    1.55
     aircraft
    1.54
    Activations Density 0.014%

    No Known Activations