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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. 4-RES-JB
    11. 19398
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    Explanations

    references to VCR tapes or equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to virtual reality and related technology

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

    No Comments

    Negative Logits
    ãĥ³ãĤ¸
    -0.83
    ãĥ¼ãĥĨ
    -0.81
    ģĸ
    -0.80
    ãĤ´ãĥ³
    -0.78
    éĹĺ
    -0.75
    dress
    -0.70
    EStream
    -0.69
    ij士
    -0.69
    manship
    -0.69
    --------------------------------------------------------
    -0.67
    POSITIVE LOGITS
    oodoo
    1.13
    isions
    1.09
    III
    1.09
    ampires
    1.08
    IRT
    1.07
    ogue
    1.06
    ulture
    1.05
    odka
    1.05
    arsity
    1.04
    ibr
    1.03
    Activations Density 0.030%

    No Known Activations