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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. 6-RES-JB
    6. 11008
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    INDEX
    Explanations

    words related to prediction or foresight

    oai_token-act-pair · gpt-3.5-turbo

    words related to prescription and authority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Bear
    -0.78
    STEP
    -0.74
    bed
    -0.67
    ISM
    -0.66
    Dear
    -0.65
    TING
    -0.64
    Square
    -0.64
     Pearl
    -0.63
     Paradise
    -0.63
     Dreams
    -0.63
    POSITIVE LOGITS
    ervative
    1.01
    erver
    0.98
    ocial
    0.90
    odic
    0.88
    ervatives
    0.84
    umes
    0.84
    byter
    0.84
    haps
    0.82
    ages
    0.81
    jud
    0.81
    Activations Density 0.018%

    No Known Activations