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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. 4089
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    Explanations

    comparative relationships expressed through words relating to quantity or intensity

    oai_token-act-pair · gpt-3.5-turbo

    comparative statements related to degree or intensity

    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
    «ĺ
    -0.84
    Ń·
    -0.78
    è£
    -0.78
    ãĤ´ãĥ³
    -0.75
    ï¸
    -0.73
    WAR
    -0.73
    ELS
    -0.70
    galitarian
    -0.70
    imilar
    -0.70
    lain
    -0.69
    POSITIVE LOGITS
    than
    0.84
     than
    0.74
     rede
    0.73
     absorbed
    0.68
     renew
    0.66
     churn
    0.66
     absorb
    0.65
     induct
    0.64
     absorbs
    0.63
     dwell
    0.63
    Activations Density 0.104%

    No Known Activations