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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. 10-RES-JB
    11. 23462
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    Explanations

    phrases related to tasks or actions that need to be done

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express a need or necessity for action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.76
    soDeliveryDate
    -0.73
     Akin
    -0.70
     Laksh
    -0.69
     wrongful
    -0.69
    ELD
    -0.67
    binding
    -0.66
    furt
    -0.66
    exclusive
    -0.64
     Lotus
    -0.64
    POSITIVE LOGITS
     rethink
    1.33
     clarify
    1.17
     know
    1.14
     tighten
    1.08
     revisit
    1.08
     remind
    1.08
     improve
    1.08
     broaden
    1.08
     hurry
    1.08
     prove
    1.07
    Activations Density 0.105%

    No Known Activations