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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. 8447
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    Explanations

    dates written in numeric form

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific dates and years

    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
    imer
    -0.74
     citiz
    -0.65
     thous
    -0.64
     plur
    -0.64
    ardless
    -0.63
     shenan
    -0.62
    semb
    -0.61
     exploits
    -0.60
    und
    -0.59
    amins
    -0.57
    POSITIVE LOGITS
     UTC
    0.89
     RELEASE
    0.78
     ·
    0.75
     partName
    0.72
     Apply
    0.72
     Views
    0.71
     08
    0.70
     07
    0.69
     Dodge
    0.69
     Referred
    0.68
    Activations Density 0.056%

    No Known Activations