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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. 10-RES-JB
    11. 710
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    Explanations

    movie titles

    oai_token-act-pair · gpt-3.5-turbo

    references to animated films, particularly focusing on titles and characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hip
    -0.89
    rar
    -0.84
    edly
    -0.84
    lessly
    -0.82
    paren
    -0.79
    shown
    -0.79
    microsoft
    -0.79
    orate
    -0.78
    lying
    -0.76
    lington
    -0.76
    POSITIVE LOGITS
     Unch
    1.00
     Sauce
    0.91
     Style
    0.90
     Club
    0.90
     Beach
    0.88
     Yoga
    0.87
     Panda
    0.87
     Nights
    0.86
     dancers
    0.85
     Springs
    0.85
    Activations Density 0.275%

    No Known Activations