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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. 9-RES-JB
    11. 24100
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    Explanations

    contractions that include 'd followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    phrases using the contraction "I'd."

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Reviewer
    -0.80
    aders
    -0.74
    IDA
    -0.73
    RAW
    -0.70
    ç¥ŀ
    -0.63
    CTV
    -0.63
    EXP
    -0.62
    AD
    -0.62
    rative
    -0.62
    asse
    -0.61
    POSITIVE LOGITS
     gotta
    1.18
     gotten
    0.84
     got
    0.83
     wanna
    0.82
     been
    0.81
     Been
    0.79
    itle
    0.71
     gonna
    0.70
     sprinkle
    0.69
     get
    0.67
    Activations Density 0.041%

    No Known Activations