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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. 4-RES-JB
    11. 4182
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    Explanations

    phrases related to the development or creation of various systems or tools

    oai_token-act-pair · gpt-3.5-turbo

    infinitive verbs or phrases indicating purpose or intent

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

    No Comments

    Negative Logits
    quickShipAvailable
    -0.73
     wastes
    -0.59
    soDeliveryDate
    -0.57
     vows
    -0.56
     spo
    -0.56
     IMAGES
    -0.56
     Prob
    -0.54
    awei
    -0.53
     screenshots
    -0.53
     passwords
    -0.53
    POSITIVE LOGITS
     ensure
    1.21
    ggles
    1.17
     enhance
    1.16
     maximize
    1.14
     promote
    1.11
     accommodate
    1.11
     strengthen
    1.09
     satisfy
    1.09
     improve
    1.08
     emulate
    1.07
    Activations Density 0.400%

    No Known Activations