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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. 1-RES-JB
    11. 8782
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    Explanations

    words related to different types of finishes, particularly "matte" finishes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "matte" finishes and the name "Sheen."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GBT
    -0.89
    LI
    -0.81
    entric
    -0.79
    çīĪ
    -0.78
    OTO
    -0.76
    Īè
    -0.73
    Interstitial
    -0.73
    SPONSORED
    -0.73
    VERTISEMENT
    -0.73
    ttp
    -0.72
    POSITIVE LOGITS
    ijn
    0.94
    iary
    0.88
     matt
    0.78
    hew
    0.77
    chell
    0.76
    chart
    0.75
    iano
    0.74
    ileaks
    0.72
    roleum
    0.72
     Matte
    0.71
    Activations Density 0.017%

    No Known Activations