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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. 11-RES-JB
    6. 15071
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    Explanations

    phrases related to specific locations or events

    oai_token-act-pair · gpt-3.5-turbo

    key phrases related to locations and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Blossom
    -0.90
    Ba
    -0.84
     Bowen
    -0.84
    ubi
    -0.82
     Wr
    -0.80
     Clemson
    -0.79
    berry
    -0.79
     Biden
    -0.78
    bush
    -0.78
     Choi
    -0.78
    POSITIVE LOGITS
     Met
    2.36
    Met
    2.23
     MET
    2.07
    met
    2.01
     met
    1.88
    MET
    1.79
     metab
    1.42
     Metall
    1.38
     Meter
    1.28
    emet
    1.24
    Activations Density 0.200%

    No Known Activations