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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. 0-RES-JB
    11. 12105
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    Explanations

    phrases related to focus and attention

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "concentrate" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocket
    -0.66
     Je
    -0.64
     Ship
    -0.64
    OTUS
    -0.63
    justice
    -0.62
     Appropri
    -0.62
     Wars
    -0.61
    wn
    -0.61
     TLS
    -0.60
     signs
    -0.60
    POSITIVE LOGITS
     concentrate
    3.94
     concentrating
    2.64
     concentrated
    2.27
     concent
    2.17
     Concent
    1.95
     concentration
    1.70
     foc
    1.48
     focus
    1.37
     isolate
    1.37
    focus
    1.21
    Activations Density 0.025%

    No Known Activations