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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
    11. 8124
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    Explanations

    mentions of different types of cuisine

    oai_token-act-pair · gpt-3.5-turbo

    references to different nationalities or ethnic groups

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    edin
    -0.76
    fman
    -0.74
    earance
    -0.73
    ividual
    -0.72
    Downloadha
    -0.69
    bley
    -0.69
    vae
    -0.67
    vana
    -0.65
    enance
    -0.65
    usc
    -0.64
    POSITIVE LOGITS
    ãĥ¥
    0.82
     Airlines
    0.78
     Toast
    0.74
     Affairs
    0.72
    Chicken
    0.70
     Tire
    0.68
     Stall
    0.68
     Crest
    0.67
     Connection
    0.67
     Hills
    0.65
    Activations Density 0.218%

    No Known Activations