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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. 6-RES-JB
    6. 12822
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    INDEX
    Explanations

    phrases related to exceptional or outstanding performances

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of strong performances or qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AI
    -0.76
     ®
    -0.75
     censor
    -0.74
    Chair
    -0.72
    source
    -0.72
     cens
    -0.70
     reimb
    -0.69
    yg
    -0.69
     Funding
    -0.68
     censorship
    -0.67
    POSITIVE LOGITS
     offensively
    1.03
     defensively
    0.97
     athlet
    0.96
     athleticism
    0.95
     signings
    0.90
     scorer
    0.88
     goalt
    0.88
     rookie
    0.87
     postseason
    0.87
     rebound
    0.86
    Activations Density 0.231%

    No Known Activations