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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. 10-RES-JB
    6. 5769
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    Explanations

    It looks for phrases related to exploration or discovery, specifically involving nature, animals, and travel

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to," indicating purpose or intention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Harmon
    -0.77
     ABV
    -0.75
    Rust
    -0.73
     hemp
    -0.72
    orf
    -0.72
    bass
    -0.71
    rab
    -0.70
    onson
    -0.69
     postage
    -0.68
    ord
    -0.67
    POSITIVE LOGITS
     SEE
    1.46
     VIEW
    1.41
    view
    1.41
     view
    1.40
     viewing
    1.39
     View
    1.34
     viewer
    1.33
     watch
    1.33
     WATCH
    1.33
    View
    1.29
    Activations Density 0.257%

    No Known Activations