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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. 9-RES-JB
    11. 2775
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    Explanations

    economic or statistical terms related to growth, rates, and changes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to statistical measures and economic indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cheat
    -0.72
    cients
    -0.63
    cott
    -0.62
    lein
    -0.61
    perfect
    -0.60
    çīĪ
    -0.59
     Lie
    -0.59
    apego
    -0.59
    interstitial
    -0.58
     Innocent
    -0.58
    POSITIVE LOGITS
     fortunes
    0.92
     expectancy
    0.85
     attributable
    0.81
     intensity
    0.80
     incidence
    0.79
    ahime
    0.77
     productivity
    0.77
     compared
    0.77
     responsiveness
    0.76
     magnitude
    0.75
    Activations Density 0.262%

    No Known Activations