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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. 15096
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    Explanations

    proper nouns related to individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the name "Da" across various contexts

    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
    sburgh
    -1.16
    ãĤ¡
    -0.86
    ï¸ı
    -0.78
    sburg
    -0.77
    é¾įå¥ij士
    -0.75
    ORED
    -0.74
     guiActiveUnfocused
    -0.73
    LESS
    -0.72
    eering
    -0.71
    eele
    -0.70
    POSITIVE LOGITS
    isy
    1.03
    emon
    1.02
    ft
    0.94
    emonic
    0.88
    uman
    0.85
    cha
    0.84
    iba
    0.84
    qu
    0.83
    Da
    0.81
    fts
    0.81
    Activations Density 0.004%

    No Known Activations