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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. 9-RES-JB
    11. 20125
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    Explanations

    sets or collections of items

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "set of" indicating a collection or group of items or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hyde
    -0.93
    ivo
    -0.80
    apo
    -0.75
    terness
    -0.74
    eri
    -0.73
    Mob
    -0.71
    ersive
    -0.71
    cture
    -0.71
    erate
    -0.70
    que
    -0.70
    POSITIVE LOGITS
     stairs
    1.01
     handcuffs
    0.99
     twins
    0.97
     scissors
    0.95
     rules
    0.90
     instructions
    0.89
     tools
    0.87
     circumstances
    0.86
     footprints
    0.86
     coordinates
    0.85
    Activations Density 0.096%

    No Known Activations