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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. 3196
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    Explanations

    mentions or references in a formal or historical context

    oai_token-act-pair · gpt-3.5-turbo

    the word "that."

    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
     Corps
    -0.58
     Hok
    -0.57
     Champ
    -0.56
    ron
    -0.54
     downs
    -0.53
    natureconservancy
    -0.52
     Breat
    -0.52
     Everywhere
    -0.52
     Islands
    -0.51
    ien
    -0.51
    POSITIVE LOGITS
     fateful
    0.86
    soever
    0.84
     resulted
    0.81
     arose
    0.77
     mattered
    0.76
    milo
    0.75
    Accessory
    0.75
     culminated
    0.75
     surrounds
    0.74
    lav
    0.74
    Activations Density 0.678%

    No Known Activations