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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. 17150
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    Explanations

    time-related information, particularly related to schedules and events

    oai_token-act-pair · gpt-3.5-turbo

    sentences that end with a period

    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
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    Negative Logits
    izoph
    -0.80
     behav
    -0.78
    ·
    -0.74
    isations
    -0.67
    Ĥª
    -0.66
     acknowled
    -0.66
     pse
    -0.66
     artif
    -0.65
    isable
    -0.64
     detrim
    -0.64
    POSITIVE LOGITS
     EDT
    1.45
     ET
    1.31
     PDT
    1.30
     EST
    1.27
     CST
    1.26
     PST
    1.23
     PT
    1.12
     CET
    1.07
     Fridays
    0.97
     GMT
    0.97
    Activations Density 0.030%

    No Known Activations