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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 8-RES-JB
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    Explanations

    the word "said" in sentences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "said" and its variations indicating spoken dialogue

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Ranked
    -0.80
    MENT
    -0.73
    enegger
    -0.70
    OGR
    -0.69
    mental
    -0.67
    OSS
    -0.66
    ments
    -0.66
    kid
    -0.65
    ATIONAL
    -0.64
    MENTS
    -0.63
    POSITIVE LOGITS
     goodbye
    1.13
     aloud
    0.84
    dylib
    0.73
     hello
    0.73
     farewell
    0.71
     sarcast
    0.70
    sonian
    0.68
    seless
    0.67
    escription
    0.66
    lihood
    0.64
    Activations Density 0.099%

    No Known Activations