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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. 6-RES-JB
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    Explanations

    references to retail activities and establishments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to retail and commercial spaces

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.84
    thia
    -0.78
    ktop
    -0.70
    airo
    -0.67
    umbnail
    -0.67
    glers
    -0.66
    atever
    -0.65
    bring
    -0.64
     Grayson
    -0.64
     Metatron
    -0.64
    POSITIVE LOGITS
     outlets
    0.98
     establishments
    0.96
     malls
    0.88
    ization
    0.87
     stores
    0.86
     shops
    0.86
     storefront
    0.83
     outlet
    0.82
    izing
    0.81
     store
    0.81
    Activations Density 0.013%

    No Known Activations