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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. 9-RES-JB
    11. 3324
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    Explanations

    references to the financial institution "Citigroup"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "Citroen" and related references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ++++
    -0.70
    ////////
    -0.69
     hopeful
    -0.68
    quickShipAvailable
    -0.66
    æĥ
    -0.64
    ĺħ
    -0.63
     clue
    -0.63
     Direction
    -0.62
    ãĤĭ
    -0.61
    Ł
    -0.61
    POSITIVE LOGITS
    rix
    1.31
    igroup
    1.18
    ron
    1.16
    rus
    1.16
    ronic
    0.98
    uana
    0.96
    unia
    0.96
    rate
    0.94
    ric
    0.94
    adel
    0.93
    Activations Density 0.068%

    No Known Activations