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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. 9988
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    Explanations

    descriptions of criminal activities and incidents

    oai_token-act-pair · gpt-3.5-turbo

    clauses that indicate the occurrence of significant events or incidents

    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
     Eye
    -0.69
     Divinity
    -0.68
    ether
    -0.64
    Gy
    -0.64
    ilet
    -0.62
    river
    -0.61
    safe
    -0.58
    istance
    -0.57
     Hyd
    -0.57
    ystem
    -0.55
    POSITIVE LOGITS
     resulted
    1.19
     culminated
    1.16
     preceded
    1.15
     lasted
    1.10
     occurred
    1.07
     ensued
    1.01
     coincided
    0.99
     prompted
    0.96
     sparked
    0.95
     fateful
    0.93
    Activations Density 0.207%

    No Known Activations