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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. 7-RES-JB
    6. 10747
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    Explanations

    numerical values with decimals

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unders
    -0.71
     CAM
    -0.69
     outweigh
    -0.65
     McGill
    -0.63
     FAR
    -0.63
     TAG
    -0.63
     Opposition
    -0.59
     Entered
    -0.59
     Kinder
    -0.59
     MEM
    -0.59
    POSITIVE LOGITS
    25
    1.15
    26
    1.14
    35
    1.14
    29
    1.12
    30
    1.10
    45
    1.10
    09
    1.09
    5
    1.09
    28
    1.09
    13
    1.08
    Activations Density 0.084%

    No Known Activations