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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. 8-RES-JB
    11. 22356
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    Explanations

    words related to essential needs such as food, water, and supplies

    oai_token-act-pair · gpt-3.5-turbo

    references to essential resources and basic needs, particularly food, water, and supplies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onew
    -0.76
    igmat
    -0.74
    ovie
    -0.71
    oteric
    -0.71
    omorphic
    -0.71
    ategory
    -0.70
    oter
    -0.68
    arnaev
    -0.68
    akespeare
    -0.68
     bluff
    -0.67
    POSITIVE LOGITS
     supplies
    1.18
     ration
    1.03
     allowance
    0.97
     necessities
    0.91
     refill
    0.90
     meals
    0.89
     shortages
    0.89
     snacks
    0.84
     vouchers
    0.84
     essentials
    0.84
    Activations Density 0.307%

    No Known Activations