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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. 8-RES-JB
    11. 2180
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    Explanations

    time-related expressions

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to the passage of time and duration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ħĭ
    -0.94
    rored
    -0.70
    oci
    -0.70
    oiler
    -0.69
    idable
    -0.67
    idden
    -0.64
    ntil
    -0.64
    oeuv
    -0.63
    acist
    -0.63
    iane
    -0.63
    POSITIVE LOGITS
     elapsed
    0.87
     longer
    0.85
     (~
    0.84
     apiece
    0.82
     convincing
    0.72
     digest
    0.72
    maxwell
    0.69
     overdue
    0.67
     msec
    0.66
     reign
    0.65
    Activations Density 0.071%

    No Known Activations