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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. 2-RES-JB
    11. 7680
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    Explanations

    references to the company "Shell" within the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Shell and its activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ————————————————
    -0.78
    é¾įå
    -0.75
     ILCS
    -0.72
    Interstitial
    -0.71
    ————————
    -0.69
    âĸĪâĸĪ
    -0.66
    agents
    -0.65
    upon
    -0.64
    enegger
    -0.63
     Viet
    -0.62
    POSITIVE LOGITS
     Shell
    1.02
    shell
    1.00
    shock
    0.95
    Shell
    0.84
    fish
    0.83
     shells
    0.82
     Oil
    0.81
    idon
    0.77
    marine
    0.72
     shell
    0.71
    Activations Density 0.007%

    No Known Activations