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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19905
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    Explanations

    phrases or words related to writing or written text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scripts and transcription

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     visitation
    -0.71
    DERR
    -0.70
     Bears
    -0.70
     Tomas
    -0.67
     Geh
    -0.66
    favorite
    -0.64
    à©
    -0.64
    fred
    -0.64
    Franc
    -0.62
     Eclipse
    -0.62
    POSITIVE LOGITS
    osate
    1.16
    ions
    1.05
    onite
    0.95
    ript
    0.94
    ioned
    0.93
    ive
    0.93
    sis
    0.92
    alid
    0.91
    entimes
    0.90
    icut
    0.88
    Activations Density 0.031%

    No Known Activations