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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. 8-RES-JB
    11. 12913
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    Explanations

    words related to tools, techniques, and processes used in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    words related to scientific concepts or phenomena

    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
    ONSORED
    -0.83
    \\\\\\\\
    -0.80
     itself
    -0.73
    SPA
    -0.70
    isSpecialOrderable
    -0.70
    LOG
    -0.67
    eteen
    -0.66
    OB
    -0.66
    smanship
    -0.66
    pires
    -0.65
    POSITIVE LOGITS
     prolifer
    1.04
    poons
    0.96
     necks
    0.90
     abound
    0.86
     nests
    0.85
     popping
    0.84
     explode
    0.81
     denote
    0.80
     nipples
    0.77
     circulate
    0.76
    Activations Density 0.908%

    No Known Activations