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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. 19312
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    INDEX
    Explanations

    information related to health conditions and research findings

    oai_token-act-pair · gpt-3.5-turbo

    statistical relationships concerning health and mortality

    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
    ufact
    -0.78
    Planet
    -0.76
    soDeliveryDate
    -0.72
     Armageddon
    -0.71
    craft
    -0.69
     jewels
    -0.68
     Rept
    -0.67
    arna
    -0.67
     essentials
    -0.66
     Ambrose
    -0.66
    POSITIVE LOGITS
     statistically
    1.15
     correlated
    1.06
     cognitive
    1.06
     (âĪĴ
    1.03
     antidepressant
    1.03
     cortisol
    1.02
    ivariate
    1.01
     placebo
    1.01
     dopamine
    0.96
     behavioral
    0.96
    Activations Density 1.137%

    No Known Activations