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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10542
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    Explanations

    phrases related to time spent or duration

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "spent" indicating time expenditure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Seymour
    -0.63
     detonated
    -0.61
     Watson
    -0.58
     Conan
    -0.56
     Edmund
    -0.55
    peer
    -0.55
     conver
    -0.54
    ensen
    -0.54
    ĪĴ
    -0.54
     Cassandra
    -0.53
    POSITIVE LOGITS
    itures
    0.92
     lav
    0.91
     IPM
    0.86
    ãĤ£
    0.76
    iture
    0.75
     beads
    0.75
    htaking
    0.72
    #$#$
    0.71
    edIn
    0.71
    zl
    0.69
    Activations Density 0.028%

    No Known Activations