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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
    11. 156
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    Explanations

    phrases indicating addition or contribution

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating additive relationships or contributions

    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
     Lesbian
    -0.62
     Dane
    -0.61
    VM
    -0.60
    MODE
    -0.59
     miscarriage
    -0.58
    Loop
    -0.57
    gm
    -0.56
    Tracker
    -0.56
    NING
    -0.55
     closet
    -0.55
    POSITIVE LOGITS
    atro
    0.90
    apego
    0.73
    endum
    0.73
    otos
    0.72
    ension
    0.69
    redit
    0.65
    Ore
    0.65
     flair
    0.65
    ietal
    0.65
    itions
    0.64
    Activations Density 0.346%

    No Known Activations