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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. 7-RES-JB
    11. 2123
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    Explanations

    references or mentions of the word 'Commerce'

    oai_token-act-pair · gpt-3.5-turbo

    references to Commerce and related institutions or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MAT
    -0.67
    ractive
    -0.67
    etr
    -0.67
    768
    -0.64
    aze
    -0.63
    WAR
    -0.61
    dden
    -0.60
    racted
    -0.60
    ensions
    -0.59
     Fury
    -0.59
    POSITIVE LOGITS
    INESS
    0.93
    andise
    0.80
    merce
    0.74
    halla
    0.74
    eers
    0.74
    cean
    0.73
     commerce
    0.73
    woman
    0.71
    ably
    0.69
    daq
    0.68
    Activations Density 0.029%

    No Known Activations