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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. 9-RES-JB
    11. 11732
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    Explanations

    phrases related to time durations

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving frequency or repetition tied to the word "in"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heastern
    -0.73
    borgh
    -0.70
    estial
    -0.67
    hirt
    -0.66
    ractive
    -0.64
    estic
    -0.62
    ewitness
    -0.61
    rily
    -0.60
    mand
    -0.60
    SourceFile
    -0.57
    POSITIVE LOGITS
    activity
    0.95
    efficiency
    0.89
    between
    0.81
    effic
    0.78
    clus
    0.77
     advance
    0.76
     captivity
    0.74
    escap
    0.73
     vain
    0.73
    appropriate
    0.73
    Activations Density 0.155%

    No Known Activations