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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. 4447
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    INDEX
    Explanations

    phrases related to specific goals or targets

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intent or purpose

    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
    士
    -0.86
    inventoryQuantity
    -0.81
    Optional
    -0.70
    Pass
    -0.69
    anon
    -0.68
    natureconservancy
    -0.67
     Highlands
    -0.66
     Jungle
    -0.66
     Situation
    -0.65
    lv
    -0.65
    POSITIVE LOGITS
     toward
    0.97
     squarely
    0.96
    ovie
    0.95
     towards
    0.90
    yrinth
    0.87
    sonian
    0.87
     aimed
    0.86
    lessly
    0.81
    irection
    0.80
    ggle
    0.77
    Activations Density 0.017%

    No Known Activations