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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. 16382
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    Explanations

    negative emotion and conflict-related words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    negative or distressing events or concepts

    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
     Fiscal
    -0.84
     ND
    -0.76
     CIS
    -0.74
     ICC
    -0.74
     Borders
    -0.72
     indemn
    -0.72
     Dickinson
    -0.71
     Rica
    -0.69
     Qualcomm
    -0.69
     HSBC
    -0.69
    POSITIVE LOGITS
    sized
    1.25
    shaped
    1.21
    themed
    1.20
    eyed
    1.16
    style
    1.12
    conscious
    1.10
    inspired
    1.08
    based
    1.07
    syn
    1.05
    induced
    1.04
    Activations Density 0.364%

    No Known Activations