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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. 3900
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    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
     brim
    -0.69
    IONS
    -0.65
    enance
    -0.62
    lee
    -0.61
    OVER
    -0.59
    rounded
    -0.59
    channelAvailability
    -0.58
    igree
    -0.58
     Feldman
    -0.58
    DERR
    -0.58
    POSITIVE LOGITS
     millenn
    0.66
    ebin
    0.63
    ulkan
    0.63
    ÄŁ
    0.62
     Advertisement
    0.62
     contestant
    0.62
     TBA
    0.60
    queue
    0.60
    arus
    0.59
     queue
    0.59
    Activations Density 0.010%

    No Known Activations