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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10999
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    INDEX
    Explanations

    words related to negative or distressing situations and events

    oai_token-act-pair · gpt-3.5-turbo

    references to negative experiences or conditions, particularly those involving being troubled or affected by past events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reme
    -0.78
    ettel
    -0.78
    raviolet
    -0.70
    uber
    -0.67
    iannopoulos
    -0.66
    utenberg
    -0.66
    endiary
    -0.66
    ighters
    -0.65
    oulos
    -0.65
    quickShipAvailable
    -0.65
    POSITIVE LOGITS
     havoc
    1.03
     plagued
    0.92
     plag
    0.88
    luster
    0.75
    ĸļ
    0.74
     haunted
    0.71
    gling
    0.70
    Sym
    0.70
    asus
    0.69
     headaches
    0.67
    Activations Density 0.059%

    No Known Activations