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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. 0-RES-JB
    11. 6607
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    Explanations

    phrases related to requirements or mandates

    oai_token-act-pair · gpt-3.5-turbo

    words related to mandates or requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ried
    -0.71
    ance
    -0.66
    kk
    -0.61
    ildo
    -0.59
    alks
    -0.59
     Happy
    -0.58
    ries
    -0.58
    endar
    -0.57
    thal
    -0.57
     Universe
    -0.57
    POSITIVE LOGITS
     requiring
    3.48
     needing
    2.08
     require
    1.74
     prohibiting
    1.68
     allowing
    1.53
     permitting
    1.52
    require
    1.51
    requires
    1.50
     restricting
    1.48
     requires
    1.48
    Activations Density 0.011%

    No Known Activations