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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. 1-RES-JB
    11. 6662
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    Explanations

    technical terms related to computer programming and data processing

    oai_token-act-pair · gpt-3.5-turbo

    characters, abbreviations, or specific types of jargon within a range of contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.62
    doors
    -0.54
     theirs
    -0.53
     vulner
    -0.51
    EStreamFrame
    -0.50
     sensitive
    -0.49
     Kinnikuman
    -0.48
     controlling
    -0.47
     hers
    -0.47
     rigging
    -0.47
    POSITIVE LOGITS
    yna
    0.65
     SHARES
    0.60
    orem
    0.60
    ividual
    0.59
    ibliography
    0.57
    ulous
    0.56
    agascar
    0.56
    uckland
    0.55
    imon
    0.55
    orously
    0.55
    Activations Density 2.608%

    No Known Activations