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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 4195
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    Explanations

    references to burgers

    oai_token-act-pair · gpt-3.5-turbo

    references to burgers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agnetic
    -0.84
    oral
    -0.76
    inel
    -0.75
     Emin
    -0.69
    agall
    -0.69
    uchin
    -0.68
     Atmospheric
    -0.68
    nces
    -0.67
    eus
    -0.66
     Soros
    -0.66
    POSITIVE LOGITS
     burger
    0.87
     burgers
    0.86
     emoji
    0.85
    meat
    0.83
    urger
    0.82
     steak
    0.81
     hamb
    0.81
    bowl
    0.80
    becue
    0.79
    balls
    0.78
    Activations Density 0.040%

    No Known Activations