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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. 8-RES-JB
    11. 542
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    Explanations

    phrases related to invention and innovation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to innovative product development and design

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gleaming
    -0.61
     Factors
    -0.60
    stage
    -0.59
     bail
    -0.56
     Securities
    -0.56
     strand
    -0.56
     prematurely
    -0.55
     IMAGES
    -0.55
    chem
    -0.54
     Scholar
    -0.54
    POSITIVE LOGITS
     someday
    0.92
     reusable
    0.70
    çIJ
    0.70
    shared
    0.69
     interoper
    0.69
    omever
    0.68
    orest
    0.67
    sylv
    0.67
     compatible
    0.67
    DonaldTrump
    0.66
    Activations Density 0.675%

    No Known Activations