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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
    11. 17294
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    Explanations

    contractions where "we" is one of the words

    oai_token-act-pair · gpt-3.5-turbo

    references to the pronoun "we"

    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
    Not in Any Lists

    No Comments

    Negative Logits
    REDACTED
    -0.66
     Publication
    -0.62
     gratification
    -0.61
     Hole
    -0.60
    personal
    -0.59
     Crush
    -0.57
     Tai
    -0.57
    math
    -0.57
    odor
    -0.56
    ions
    -0.56
    POSITIVE LOGITS
    're
    1.22
    've
    1.20
    athered
    1.08
    asel
    1.06
     ourselves
    0.99
    ibo
    0.98
    aning
    0.97
    'll
    0.93
    lder
    0.93
    IRD
    0.92
    Activations Density 0.222%

    No Known Activations