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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. 2-RES-JB
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    Explanations

    mentions of the word "cartoon"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cartoons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADA
    -0.67
    acia
    -0.67
    alez
    -0.67
    forces
    -0.66
    utherford
    -0.66
    vae
    -0.65
    forced
    -0.64
    govern
    -0.63
    idency
    -0.63
    bringing
    -0.62
    POSITIVE LOGITS
    ishly
    1.12
     cartoons
    1.09
     cartoon
    1.03
     frog
    0.98
     caric
    0.98
    enegger
    0.91
     caricature
    0.87
     Hebdo
    0.86
    eers
    0.86
     frogs
    0.83
    Activations Density 0.010%

    No Known Activations