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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. 14815
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    INDEX
    Explanations

    names of athletes or sports figures

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places related to sports

    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
     Pengu
    -0.73
     Orn
    -0.71
     pestic
    -0.70
     horm
    -0.69
    Assembly
    -0.66
     mathematic
    -0.66
     fract
    -0.66
     Sabha
    -0.65
     magnification
    -0.65
     Colonel
    -0.65
    POSITIVE LOGITS
     Jr
    1.28
     III
    0.91
     coached
    0.89
     Sr
    0.88
    oglu
    0.88
     (#
    0.87
     teammate
    0.87
    chuk
    0.85
    ski
    0.84
     vacated
    0.84
    Activations Density 0.201%

    No Known Activations