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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. 6-RES-JB
    11. 1669
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    INDEX
    Explanations

    the word "wonder" with variations in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    expressions of curiosity or contemplation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.73
    Ĥ¬
    -0.68
    ccording
    -0.68
    ensed
    -0.68
    enses
    -0.67
    apsed
    -0.64
    alach
    -0.64
    voc
    -0.64
    orest
    -0.61
    aband
    -0.61
    POSITIVE LOGITS
     aloud
    1.03
     why
    0.91
     WHY
    0.82
     wonder
    0.81
    why
    0.80
     how
    0.77
     ABOUT
    0.77
     Questions
    0.73
    ingly
    0.72
     unanswered
    0.72
    Activations Density 0.024%

    No Known Activations