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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    mentions of consumers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of consumers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Knight
    -0.67
    apo
    -0.66
     Kaufman
    -0.66
     Hat
    -0.66
     Kitchen
    -0.65
     Holy
    -0.63
     Mountains
    -0.62
     Fellowship
    -0.62
     Bon
    -0.62
     Canad
    -0.61
    POSITIVE LOGITS
    umers
    1.56
     consumers
    1.14
    consumer
    1.02
    Consumer
    1.01
     shoppers
    0.97
     behavi
    0.93
     Consumers
    0.89
    igr
    0.86
     buyers
    0.82
    omore
    0.80
    Activations Density 0.008%

    No Known Activations