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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. 10-RES-JB
    6. 17640
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    INDEX
    Explanations

    educational degrees and fields of study

    oai_token-act-pair · gpt-3.5-turbo

    academic degrees and educational qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥ³
    -0.81
    ruff
    -0.80
    ername
    -0.75
    psons
    -0.75
    yip
    -0.75
    rants
    -0.74
    chers
    -0.73
    rouse
    -0.72
     checkpoints
    -0.71
    pload
    -0.70
    POSITIVE LOGITS
     sociology
    1.65
     Mathematics
    1.56
     anthropology
    1.53
     Physics
    1.51
     psychology
    1.48
     biology
    1.48
     Biology
    1.48
     Economics
    1.47
     neuroscience
    1.47
     economics
    1.46
    Activations Density 0.246%

    No Known Activations