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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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    references to cartoon characters

    oai_token-act-pair · gpt-3.5-turbo

    references to cartoons

    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
    forces
    -0.72
    govern
    -0.70
    HI
    -0.68
     sclerosis
    -0.68
    hold
    -0.67
    FUL
    -0.66
    forced
    -0.65
    ructure
    -0.65
    alez
    -0.64
    ttp
    -0.63
    POSITIVE LOGITS
     cartoons
    1.10
    ishly
    1.02
     cartoon
    0.94
     caric
    0.89
     sketches
    0.86
     frog
    0.86
    enegger
    0.86
     Cartoon
    0.85
    eers
    0.83
    ists
    0.83
    Activations Density 0.014%

    No Known Activations