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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. 8-RES-JB
    6. 9114
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    INDEX
    Explanations

    phrases or statements indicating truth or accuracy

    oai_token-act-pair · gpt-3.5-turbo

    assertions or statements about truthfulness or conditions being true or false

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.81
    fect
    -0.78
    afia
    -0.77
    udeb
    -0.72
     hail
    -0.69
    umbnails
    -0.67
    ividual
    -0.67
    cies
    -0.65
    izabeth
    -0.65
    elve
    -0.64
    POSITIVE LOGITS
     happening
    1.20
    true
    0.90
     true
    0.88
     happen
    0.88
     occurring
    0.87
     untrue
    0.86
     achievable
    0.84
     TRUE
    0.82
     accomplished
    0.82
     happ
    0.81
    Activations Density 0.249%

    No Known Activations