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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. 11-RES-JB
    11. 6914
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    Explanations

    references to retail-related terms or activities

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to the retail industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thia
    -0.74
    hered
    -0.72
    vous
    -0.68
     Benedict
    -0.64
     Norn
    -0.62
    vernment
    -0.60
     Hussain
    -0.58
    zanne
    -0.58
     Memorial
    -0.58
     Sovereign
    -0.58
    POSITIVE LOGITS
     stores
    1.08
     outlets
    1.06
     Stores
    1.05
     malls
    1.00
    ing
    0.97
     storefront
    0.95
     shops
    0.93
     store
    0.92
     outlet
    0.91
    stores
    0.91
    Activations Density 0.040%

    No Known Activations