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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. 10-RES-JB
    11. 21900
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    Explanations

    questions or uncertainties about future events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to questions and uncertainty

    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
    roud
    -0.68
    Torrent
    -0.59
    anium
    -0.58
    stro
    -0.57
    axis
    -0.57
    âĿ
    -0.55
    nov
    -0.53
    Introduced
    -0.52
     Antiqu
    -0.52
    Done
    -0.51
    POSITIVE LOGITS
     whether
    2.10
    whether
    1.76
     how
    1.30
     if
    1.27
     Whether
    1.23
    Whether
    1.18
     why
    1.17
    why
    1.06
    how
    1.03
     what
    0.94
    Activations Density 0.422%

    No Known Activations