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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. 24507
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    INDEX
    Explanations

    mentions of local services or establishments

    oai_token-act-pair · gpt-3.5-turbo

    references to local places or businesses

    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
    Images
    -0.80
    etheless
    -0.74
    CLASSIFIED
    -0.74
    Cover
    -0.71
     hypotheses
    -0.70
    flows
    -0.70
    manship
    -0.67
    ankind
    -0.67
    verbs
    -0.66
     amendments
    -0.66
    POSITIVE LOGITS
     supermarket
    1.54
     grocery
    1.44
     diner
    1.41
     bookstore
    1.38
     café
    1.37
     restaurant
    1.34
     grocer
    1.32
     cafe
    1.31
     dealership
    1.26
     motel
    1.24
    Activations Density 0.311%

    No Known Activations