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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. 9108
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    Explanations

    references to economic sectors

    oai_token-act-pair · gpt-3.5-turbo

    references to various sectors of the economy

    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
    fet
    -0.69
    xes
    -0.64
    oat
    -0.64
    gdala
    -0.63
    iens
    -0.62
    ipers
    -0.61
    aina
    -0.61
    mercial
    -0.61
    sterdam
    -0.60
    ongyang
    -0.59
    POSITIVE LOGITS
     sectors
    1.04
     sector
    1.04
    sector
    1.02
     Sector
    0.79
    umin
    0.76
    naires
    0.75
    naire
    0.74
     workforce
    0.72
    enaries
    0.72
    ially
    0.71
    Activations Density 0.013%

    No Known Activations