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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. 9-RES-JB
    11. 15939
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    Explanations

    news agency names in captions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "REUTERS" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sed
    -0.69
     intellig
    -0.58
     tranquil
    -0.57
    bal
    -0.56
     tire
    -0.56
    inent
    -0.56
     bra
    -0.56
    izers
    -0.56
     perplex
    -0.55
     discipl
    -0.55
    POSITIVE LOGITS
    UTERS
    0.90
     Images
    0.86
    CLASSIFIED
    0.85
     PHOTO
    0.80
    photo
    0.78
    OGR
    0.78
    FORE
    0.78
    Film
    0.77
     IMAGES
    0.77
    PLE
    0.77
    Activations Density 0.017%

    No Known Activations