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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. 6-RES-JB
    11. 5603
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    Explanations

    time-related phrases involving the word "leading."

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating temporal relationships and sequences of events

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.80
    ãĥ³ãĤ¸
    -0.77
    ODY
    -0.76
    abase
    -0.76
    wcsstore
    -0.75
    acons
    -0.74
    ANT
    -0.73
    ©¶æ¥µ
    -0.73
     guiIcon
    -0.71
     Cosponsors
    -0.70
    POSITIVE LOGITS
     elapsed
    0.73
     Election
    0.71
     totality
    0.68
    apses
    0.65
     periods
    0.64
     onset
    0.63
    apse
    0.63
     completion
    0.62
     dusk
    0.62
     commute
    0.62
    Activations Density 0.103%

    No Known Activations