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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. 10-RES-JB
    11. 16168
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    Explanations

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    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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rampage
    -0.61
     juices
    -0.56
     sher
    -0.55
     clock
    -0.54
    Menu
    -0.51
     Samar
    -0.50
    ially
    -0.50
     Eleven
    -0.49
    ITION
    -0.49
     greeting
    -0.48
    POSITIVE LOGITS
    beck
    0.83
    sung
    0.81
    ggle
    0.78
    dig
    0.76
    zynski
    0.76
    pez
    0.75
    cks
    0.75
    cius
    0.72
    ocene
    0.72
    der
    0.70
    Activations Density 0.099%

    No Known Activations