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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
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    Explanations

    references to studies or research involving mice as experimental subjects

    oai_token-act-pair · gpt-3.5-turbo

    references to studies involving mice as subjects

    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
    ãĤ¢ãĥ«
    -0.76
     Crimes
    -0.69
    uts
    -0.65
    ãĥĨãĤ£
    -0.65
     vot
    -0.64
    iosyncr
    -0.64
     creditor
    -0.64
    ABLE
    -0.63
    Angel
    -0.63
    ãĥ´ãĤ¡
    -0.63
    POSITIVE LOGITS
     mice
    1.00
     rats
    0.87
    pox
    0.82
     bred
    0.81
     pup
    0.81
     rodents
    0.81
     embryos
    0.79
     mamm
    0.78
     carc
    0.78
     genome
    0.76
    Activations Density 0.027%

    No Known Activations