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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. 3-RES-JB
    11. 6537
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    Explanations

    references to CDs as physical media

    oai_token-act-pair · gpt-3.5-turbo

    references to CDs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    terday
    -0.80
    ãĥĦ
    -0.75
    Downloadha
    -0.70
     Gors
    -0.68
    ãĥīãĥ©ãĤ´ãĥ³
    -0.67
    Ò
    -0.65
    skirts
    -0.64
    66666666
    -0.63
    asonic
    -0.63
    tenance
    -0.62
    POSITIVE LOGITS
    ouble
    0.99
    MX
    0.89
    ROM
    0.87
    CD
    0.85
    erning
    0.85
    NF
    0.83
    oard
    0.80
    DVD
    0.79
    irect
    0.79
    DL
    0.78
    Activations Density 0.005%

    No Known Activations