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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. 8-RES-JB
    11. 12926
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    Explanations

    phrases related to consumer-related topics and entities

    oai_token-act-pair · gpt-3.5-turbo

    references to consumers and consumer-related topics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    apo
    -0.75
    night
    -0.74
    rams
    -0.71
    unda
    -0.68
     sleeper
    -0.67
    inx
    -0.67
    eton
    -0.67
    SourceFile
    -0.65
    undo
    -0.64
    heimer
    -0.62
    POSITIVE LOGITS
    umers
    1.07
     goods
    1.00
     electronics
    0.94
     Electronics
    0.86
    consumer
    0.82
     Staples
    0.82
    ised
    0.79
     beware
    0.79
    ized
    0.78
    ists
    0.77
    Activations Density 0.040%

    No Known Activations