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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. 6-RES-JB
    11. 15430
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    Explanations

    famous names and proper nouns

    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    usterity
    -0.58
    iaries
    -0.57
    different
    -0.57
    -+-+
    -0.55
    romeda
    -0.54
    ictive
    -0.52
     Myster
    -0.52
    ergy
    -0.51
    enery
    -0.50
    ilater
    -0.50
    POSITIVE LOGITS
     notwithstanding
    0.74
    olver
    0.63
    ãĤ±
    0.61
    ="/
    0.57
    ãĥĺ
    0.57
     (@
    0.52
     è£ıè
    0.51
     defends
    0.51
     thereto
    0.51
     solved
    0.50
    Activations Density 1.468%

    No Known Activations