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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. 8-RES-JB
    11. 11934
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    Explanations

    words and phrases related to various outdoor activities, particularly those involving snow or water

    oai_token-act-pair · gpt-3.5-turbo

    terms related to outdoor sports and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     restruct
    -0.89
     Baghd
    -0.73
     Orwell
    -0.70
     sidel
    -0.70
    Pages
    -0.65
    Process
    -0.64
     obfusc
    -0.63
     redacted
    -0.63
     Byzantine
    -0.63
     resolves
    -0.63
    POSITIVE LOGITS
     instructor
    1.22
     instructors
    1.14
     Instructor
    1.06
     skiing
    1.02
     padd
    0.99
     canoe
    0.99
    ercise
    0.98
    boarding
    0.97
     paddle
    0.96
     biking
    0.96
    Activations Density 0.222%

    No Known Activations