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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. 22446
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    Explanations

    pronouns in the context of various scenarios and activities

    oai_token-act-pair · gpt-3.5-turbo

    the repeated usage of the pronoun "they."

    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
     Himself
    -0.56
    egu
    -0.55
    olute
    -0.54
    usk
    -0.52
    ģĸ
    -0.52
     extraord
    -0.52
    PsyNetMessage
    -0.50
    resents
    -0.50
    itialized
    -0.48
     Yourself
    -0.48
    POSITIVE LOGITS
     they
    2.82
    they
    2.68
     THEY
    2.37
    They
    2.05
     They
    1.91
    their
    1.70
    Their
    1.50
     theirs
    1.38
     their
    1.35
     THEIR
    1.25
    Activations Density 0.217%

    No Known Activations