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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. 10-RES-JB
    11. 16464
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    Explanations

    phrases related to focus and attention

    oai_token-act-pair · gpt-3.5-turbo

    words related to attention and focus in discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     photoc
    -0.75
     Incredible
    -0.68
     Amen
    -0.66
     paran
    -0.62
     Rebell
    -0.61
     handshake
    -0.59
     simulac
    -0.59
     embod
    -0.59
     Chains
    -0.58
    latable
    -0.58
    POSITIVE LOGITS
    focus
    1.08
     squarely
    1.07
    ocus
    1.04
     focused
    0.99
     elsewhere
    0.96
    phasis
    0.94
     foc
    0.93
    ocused
    0.88
    ocusing
    0.87
     focus
    0.87
    Activations Density 0.133%

    No Known Activations