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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. 16286
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    Explanations

    timestamps in the format "AM/PM" with high match activation

    oai_token-act-pair · gpt-3.5-turbo

    time indicators related to AM and PM

    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
    ophon
    -0.78
    proof
    -0.74
     undertaken
    -0.64
     resemb
    -0.64
    iform
    -0.64
    ãĥīãĥ©ãĤ´ãĥ³
    -0.63
    eros
    -0.63
     acknow
    -0.63
    antically
    -0.62
     acquaintance
    -0.62
    POSITIVE LOGITS
     EDT
    1.42
     EST
    1.26
     PDT
    1.20
     CST
    1.16
     ET
    1.15
     PST
    1.14
     UTC
    1.11
     CET
    1.08
     IST
    1.06
     GMT
    1.05
    Activations Density 0.020%

    No Known Activations