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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. 8-RES-JB
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    INDEX
    Explanations

    mentions of raccoons

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to raccoons and racing

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    iture
    -0.76
     celeb
    -0.68
    utterstock
    -0.66
    asures
    -0.65
    gets
    -0.62
    ividual
    -0.61
    itures
    -0.61
    sworth
    -0.61
    gie
    -0.59
     Malik
    -0.58
    POSITIVE LOGITS
    coon
    0.89
    nell
    0.83
     Racer
    0.81
    olyn
    0.81
    ball
    0.80
    etr
    0.79
     racing
    0.79
    manship
    0.73
    quet
    0.72
    oon
    0.72
    Activations Density 0.050%

    No Known Activations