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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. 8-RES-JB
    6. 18785
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    INDEX
    Explanations

    large numerical values

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to viewer statistics or financial values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antly
    -0.61
    Commerce
    -0.59
     srfAttach
    -0.58
    INK
    -0.57
    Alert
    -0.57
    Callback
    -0.56
    atches
    -0.56
    Insp
    -0.56
    ornings
    -0.56
    ventus
    -0.55
    POSITIVE LOGITS
     mark
    0.92
    ottest
    0.89
     allotted
    0.87
     richest
    0.78
     limit
    0.78
     requirement
    0.75
     remaining
    0.75
     gorilla
    0.74
    plus
    0.74
     gap
    0.72
    Activations Density 0.245%

    No Known Activations