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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
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    Explanations

    the word "Wh" followed by a word or phrase

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Wh" and its variations, indicating a focus on questions or interrogative structures

    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
     appendix
    -0.75
     lax
    -0.71
     catalog
    -0.67
     lace
    -0.64
    actionDate
    -0.62
     sched
    -0.62
     simul
    -0.61
     relief
    -0.61
     hay
    -0.61
     CTR
    -0.60
    POSITIVE LOGITS
    Wh
    3.90
    wh
    2.48
     Wh
    2.17
    WH
    1.77
    Whit
    1.36
     WH
    1.32
     wh
    1.30
     Whis
    1.24
    White
    1.22
    Gh
    1.18
    Activations Density 0.009%

    No Known Activations