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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. 16487
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    INDEX
    Explanations

    words related to interactive elements or actions

    oai_token-act-pair · gpt-3.5-turbo

    terms and concepts related to toggling and the Snapchat application

    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
    ural
    -0.80
    ures
    -0.77
    esses
    -0.76
    raid
    -0.75
    ess
    -0.74
    ivist
    -0.72
    idi
    -0.72
    icket
    -0.71
    ament
    -0.71
    resses
    -0.69
    POSITIVE LOGITS
    DERR
    0.71
    APE
    0.69
     Apprentice
    0.67
    rection
    0.66
    âĶĢ
    0.65
    Drag
    0.64
    @@@@@@@@
    0.63
    CENT
    0.63
    ————
    0.62
    aneous
    0.62
    Activations Density 0.071%

    No Known Activations