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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. 23094
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    INDEX
    Explanations

    proper nouns related to different locations or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to places and geographical locations

    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
    Filename
    -0.78
    =-=-=-=-
    -0.75
    kefeller
    -0.75
     magnification
    -0.71
     IMAGES
    -0.69
     VIDEOS
    -0.69
    \/\/
    -0.68
     Uriel
    -0.65
     NCT
    -0.65
     GEAR
    -0.63
    POSITIVE LOGITS
    pard
    0.82
    pole
    0.80
    stad
    0.78
    anty
    0.74
    peria
    0.74
    arde
    0.74
    lehem
    0.72
    igham
    0.71
    illance
    0.70
    conn
    0.70
    Activations Density 0.067%

    No Known Activations