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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. 524
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    Explanations

    mentions of cartoon characters with different emotions

    oai_token-act-pair · gpt-3.5-turbo

    references to cartoons and animation

    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
     opio
    -0.71
    acia
    -0.69
     sclerosis
    -0.65
    forces
    -0.65
    vae
    -0.63
    govern
    -0.63
    pta
    -0.62
    CI
    -0.61
    rogens
    -0.61
    ructure
    -0.60
    POSITIVE LOGITS
    ishly
    1.20
    ish
    1.01
     cartoons
    1.00
    ists
    0.99
     caric
    0.94
    ist
    0.94
     cartoon
    0.92
    oons
    0.89
    istically
    0.89
    ical
    0.88
    Activations Density 0.025%

    No Known Activations