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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. 6119
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    Explanations

    words related to actions or events escalating or intensifying

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to events or actions that escalate or accumulate

    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
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    No Comments

    Negative Logits
     ITS
    -0.82
    )))
    -0.68
    ))))
    -0.66
     thereof
    -0.65
     sleeps
    -0.62
    Its
    -0.62
    sic
    -0.62
     resemb
    -0.61
    plet
    -0.59
    ãĤ¬
    -0.59
    POSITIVE LOGITS
     nationwide
    1.01
     across
    1.00
     spor
    0.95
     amid
    0.90
     throughout
    0.85
     intermitt
    0.83
     sharply
    0.83
     worldwide
    0.78
     statewide
    0.78
     elsewhere
    0.77
    Activations Density 0.300%

    No Known Activations