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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. 7-RES-JB
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    Explanations

    the word 'some' followed by a variety of contexts, indicating a general or unspecified quantity or amount

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating unspecified quantities or references to "some" and "many."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    bringing
    -0.78
    athon
    -0.77
    habi
    -0.76
    qqa
    -0.76
    ansom
    -0.74
    senal
    -0.72
    undrum
    -0.72
    ady
    -0.71
    cum
    -0.71
    hal
    -0.71
    POSITIVE LOGITS
     people
    1.03
     commenters
    0.97
     reviewers
    0.91
     individuals
    0.88
     commentators
    0.87
     voters
    0.85
     claimants
    0.83
     persons
    0.82
     programmers
    0.80
     observers
    0.80
    Activations Density 0.235%

    No Known Activations