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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. 16284
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    Explanations

    names or variations of the name "Sche" with different endings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or entities related to the context of the text

    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
    Downloadha
    -0.98
    ORED
    -0.82
    ĺħ
    -0.81
    INGTON
    -0.74
     Taiwanese
    -0.71
    inventoryQuantity
    -0.71
     Mehran
    -0.69
    CLASSIFIED
    -0.69
    é¾
    -0.68
    å°Ĩ
    -0.68
    POSITIVE LOGITS
    dule
    1.00
     Sche
    0.95
    infeld
    0.94
    Sche
    0.93
    tto
    0.92
    ven
    0.90
    cker
    0.89
    grain
    0.89
    eta
    0.88
    ben
    0.87
    Activations Density 0.007%

    No Known Activations