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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. 1-RES-JB
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    Explanations

    references to the term "Cent" (possibly related to acronyms, proper names, or terms used in specific contexts)

    oai_token-act-pair · gpt-3.5-turbo

    references to "Cent," indicating a focus on centrality or central themes in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģį
    -0.99
     ABE
    -0.84
    è¦ļéĨĴ
    -0.83
    ãģĭ
    -0.75
    ×ķ
    -0.73
    itably
    -0.73
    Else
    -0.71
    ãĤĬ
    -0.71
    ×Ķ
    -0.70
    fitting
    -0.69
    POSITIVE LOGITS
     Cent
    1.03
    imet
    1.00
    rals
    0.93
    imeters
    0.88
    urion
    0.85
    ennial
    0.85
    aur
    0.85
    rum
    0.83
    Cent
    0.83
    aris
    0.81
    Activations Density 0.006%

    No Known Activations