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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. 12-RES-JB
    11. 3428
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    Explanations

    proper nouns related to people's names and places

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    pronouns, particularly "he" and "it" indicating focus on individuals and subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DAQ
    -0.56
     practition
    -0.54
    OHN
    -0.53
    VID
    -0.52
    PDATE
    -0.51
    ORK
    -0.51
    MAL
    -0.50
    UGE
    -0.49
    Redd
    -0.49
    Els
    -0.49
    POSITIVE LOGITS
     prosec
    0.81
     publishes
    0.79
     prefers
    0.79
    zbollah
    0.78
     intends
    0.78
     recovers
    0.77
     concedes
    0.76
     denies
    0.76
     succeeds
    0.76
     apologized
    0.75
    Activations Density 0.722%

    No Known Activations