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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. 3-RES-JB
    11. 3985
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    Explanations

    references to a specific company name, 'Shell', along with possibly relevant accompanying information

    oai_token-act-pair · gpt-3.5-turbo

    references to the company Shell

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.78
     ILCS
    -0.71
     Eisenhower
    -0.69
    é¾įå
    -0.68
    ————————————————
    -0.66
     WRITE
    -0.65
     Viet
    -0.65
    âĸĪâĸĪ
    -0.65
     Qian
    -0.62
    hered
    -0.62
    POSITIVE LOGITS
    shock
    1.07
    fish
    0.91
    shell
    0.91
     Shell
    0.90
    Shell
    0.83
     Oil
    0.82
    Shock
    0.78
     casing
    0.77
    sten
    0.73
     shells
    0.73
    Activations Density 0.005%

    No Known Activations