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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. 7-RES-JB
    11. 3533
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    Explanations

    adjectives related to positive attributes

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to morality, cultural differences, and artistic expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.72
    pmwiki
    -0.66
     "$:/
    -0.65
    ebus
    -0.65
    enegger
    -0.63
     Thu
    -0.58
    tery
    -0.56
     Scrolls
    -0.55
     Prev
    -0.54
     Hide
    -0.54
    POSITIVE LOGITS
    venge
    1.22
     extent
    1.21
    rouse
    1.02
     detriment
    0.98
     destinations
    0.82
    livion
    0.81
    ize
    0.75
     tune
    0.75
     converter
    0.72
     coffers
    0.70
    Activations Density 0.718%

    No Known Activations