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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 2714
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    Explanations

    phrases related to attention and focus

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to attention and emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     photoc
    -0.73
     handshake
    -0.71
     recordings
    -0.63
     Rebell
    -0.63
    é¾įå
    -0.61
    Cause
    -0.59
     Survive
    -0.58
     Massacre
    -0.58
     guarant
    -0.57
     Incredible
    -0.56
    POSITIVE LOGITS
     shifted
    1.01
     focused
    1.00
    phasis
    0.99
     squarely
    0.98
    focus
    0.91
     foc
    0.90
     directed
    0.88
     placed
    0.86
     centered
    0.86
     concentrated
    0.84
    Activations Density 0.101%

    No Known Activations