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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
    11. 11659
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    Explanations

    mentions of necessity or obligation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "have."

    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
    coming
    -0.51
    rait
    -0.49
     Cutting
    -0.48
    bidden
    -0.48
    lying
    -0.48
    oward
    -0.47
     Lonely
    -0.47
    holding
    -0.46
     Bec
    -0.46
    standing
    -0.46
    POSITIVE LOGITS
     have
    2.56
    have
    2.17
     HAVE
    2.02
    've
    1.72
    Have
    1.60
     Have
    1.58
     owe
    1.50
     deserve
    1.47
     seem
    1.40
     haven
    1.39
    Activations Density 0.340%

    No Known Activations