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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. 3-RES-JB
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    Explanations

    references to the term "Zero."

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Zero" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sbm
    -0.98
    worldly
    -0.84
    stro
    -0.83
    ammad
    -0.79
    artney
    -0.79
    Downloadha
    -0.78
    amental
    -0.77
    details
    -0.75
    icka
    -0.73
    aign
    -0.73
    POSITIVE LOGITS
     Zero
    0.92
    Zero
    0.90
     Escape
    0.82
    MQ
    0.82
    zero
    0.73
     Tone
    0.71
     Rays
    0.70
     Hedge
    0.69
    Tier
    0.68
     Gravity
    0.66
    Activations Density 0.014%

    No Known Activations