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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. 11-RES-JB
    11. 22481
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    Explanations

    instances of the word "went" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "went" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ament
    -0.77
    eers
    -0.68
    ifully
    -0.67
    creen
    -0.59
    icio
    -0.59
     characterization
    -0.58
     Cuomo
    -0.58
    kson
    -0.58
    folios
    -0.57
    adjusted
    -0.57
    POSITIVE LOGITS
     shopping
    1.09
     camping
    1.08
     ashore
    1.03
     skiing
    1.02
     hiking
    1.02
     fishing
    0.93
     surfing
    0.91
     undercover
    0.91
     bowling
    0.91
     abroad
    0.91
    Activations Density 0.073%

    No Known Activations