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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. 15318
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    Explanations

    dates mentioned in a specific format - month, day, year, with strong activation for year value

    oai_token-act-pair · gpt-3.5-turbo

    specific years or dates mentioned in the text

    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
    amins
    -0.74
     woo
    -0.63
     plur
    -0.61
     possibilities
    -0.61
     Wonders
    -0.60
     extras
    -0.60
     exploits
    -0.59
     verbs
    -0.59
    Reloaded
    -0.59
     endless
    -0.58
    POSITIVE LOGITS
    âĢ²
    0.68
    burgh
    0.68
     Referred
    0.65
     partName
    0.65
    mr
    0.65
    âĶĢ
    0.64
    displayText
    0.64
    isSpecialOrderable
    0.63
     Became
    0.63
     UTC
    0.62
    Activations Density 0.060%

    No Known Activations