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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. 9-RES-JB
    11. 16167
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    Explanations

    questions or expressions of curiosity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express curiosity or pondering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ĥ¬
    -0.70
    interstitial
    -0.65
    ĪĴ
    -0.62
    voc
    -0.61
    EStreamFrame
    -0.60
    elo
    -0.56
    Strong
    -0.55
     discrim
    -0.55
    alach
    -0.54
    reditation
    -0.53
    POSITIVE LOGITS
     aloud
    1.33
     why
    1.28
     whether
    1.20
    why
    1.15
     WHY
    1.15
     how
    1.09
    whether
    0.98
    how
    0.91
     anew
    0.87
     if
    0.87
    Activations Density 0.042%

    No Known Activations