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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. 7-RES-JB
    6. 22115
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    INDEX
    Explanations

    words related to different levels, degrees, or sizes of a specific quality or characteristic

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating varying degrees of importance or quality

    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
    idav
    -0.69
    etsk
    -0.67
    skirts
    -0.62
    iso
    -0.62
    pes
    -0.61
    Shut
    -0.60
     Alv
    -0.59
    pta
    -0.59
    MAP
    -0.58
    plets
    -0.58
    POSITIVE LOGITS
     magnitude
    1.11
     importance
    1.05
     caliber
    1.03
     proportions
    0.99
    course
    0.96
     stature
    0.95
     renown
    0.90
     utmost
    0.89
     origin
    0.87
     calib
    0.83
    Activations Density 0.202%

    No Known Activations