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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. 12556
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    Explanations

    references to levels of concentration

    oai_token-act-pair · gpt-3.5-turbo

    references to "concentration" in various contexts

    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
     UPDATE
    -0.70
     Reyes
    -0.68
    wal
    -0.68
    Anonymous
    -0.68
    dated
    -0.66
    things
    -0.65
    oras
    -0.65
     WATCHED
    -0.64
    iors
    -0.64
    ALS
    -0.64
    POSITIVE LOGITS
     concentration
    4.04
     Concent
    2.57
     concentrate
    1.67
     concentrating
    1.61
     concentrations
    1.56
     concentrated
    1.51
     focus
    1.12
     absorption
    1.12
     consolidation
    1.11
     purity
    1.03
    Activations Density 0.006%

    No Known Activations