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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. 2-RES-JB
    11. 5388
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    Explanations

    structured data formats or patterns

    oai_token-act-pair · gpt-3.5-turbo

    structured data markers and key-value pairs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rupal
    -0.57
    conservancy
    -0.56
    wagen
    -0.56
    ierre
    -0.56
     calendars
    -0.54
    orem
    -0.52
    omorphic
    -0.52
    arius
    -0.51
     acquaintance
    -0.50
     refugee
    -0.49
    POSITIVE LOGITS
    cond
    0.54
     Viz
    0.51
     Wraith
    0.49
    resp
    0.48
     externalToEVAOnly
    0.48
     Siber
    0.47
    RESULTS
    0.47
     Meow
    0.46
    aneous
    0.45
    LAN
    0.45
    Activations Density 1.562%

    No Known Activations