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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. 4-RES-JB
    11. 747
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    Explanations

    adjectives related to the severity or seriousness of a situation

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with severity and criticality in various contexts

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

    No Comments

    Negative Logits
    Lago
    -0.57
    Ô
    -0.55
     Rica
    -0.55
    theless
    -0.50
    enegger
    -0.50
    renheit
    -0.49
    thia
    -0.48
    ä
    -0.48
    yne
    -0.48
    ĸļ
    -0.47
    POSITIVE LOGITS
    iest
    0.85
    liest
    0.76
    est
    0.72
     portion
    0.65
    osphere
    0.63
    hest
    0.63
     dimension
    0.59
     side
    0.58
     element
    0.56
     axis
    0.55
    Activations Density 1.487%

    No Known Activations