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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. 1-RES-JB
    11. 22159
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    INDEX
    Explanations

    adjectives related to negative emotions such as worry, alarming situations, or medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    concerns and negative implications regarding societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adr
    -0.81
    ighth
    -0.81
    elo
    -0.79
    arat
    -0.78
    alach
    -0.77
    onest
    -0.77
    ĪĴ
    -0.77
    rera
    -0.76
    ola
    -0.76
    á
    -0.76
    POSITIVE LOGITS
     worrying
    0.88
     Earthqu
    0.83
    inventoryQuantity
    0.81
     Seas
    0.80
     Canaver
    0.77
     shenan
    0.76
     worrisome
    0.76
     aloud
    0.76
     Tanz
    0.75
    LY
    0.74
    Activations Density 0.008%

    No Known Activations