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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. 22737
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    Explanations

    phrases related to household chores, particularly laundry tasks

    oai_token-act-pair · gpt-3.5-turbo

    references to laundry-related topics

    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
     Naz
    -0.71
    ias
    -0.71
    mania
    -0.71
    gn
    -0.70
     Sas
    -0.70
    Shape
    -0.67
    Ge
    -0.66
     Tok
    -0.66
    Parameters
    -0.66
    EG
    -0.66
    POSITIVE LOGITS
     laundry
    3.99
     laund
    1.64
    aund
    1.53
     chores
    1.48
     homework
    1.30
    washer
    1.27
     diapers
    1.21
     washing
    1.16
     towels
    1.15
     linen
    1.09
    Activations Density 0.033%

    No Known Activations