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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. 6-RES-JB
    11. 14951
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    Explanations

    team-related entities or interactions

    oai_token-act-pair · gpt-3.5-turbo

    references to groups or categories of individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Accessory
    -0.90
    omy
    -0.62
     beginnings
    -0.59
     Humane
    -0.58
    itiveness
    -0.58
     IPM
    -0.57
     Playoffs
    -0.57
     Hen
    -0.55
     Utility
    -0.55
     Vest
    -0.55
    POSITIVE LOGITS
     besides
    0.99
    worldly
    0.89
    paces
    0.81
    folk
    0.76
     describ
    0.74
    mort
    0.72
     equally
    0.71
    than
    0.70
    hips
    0.69
    hops
    0.68
    Activations Density 0.200%

    No Known Activations