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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. 458
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    Explanations

    mentions of places of worship or sacred spaces

    oai_token-act-pair · gpt-3.5-turbo

    references to shrines and related structures

    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
    eering
    -0.91
    eers
    -0.79
     Dragonbound
    -0.72
    eer
    -0.70
     Winchester
    -0.69
     Trojan
    -0.68
     laundering
    -0.67
     PowerPoint
    -0.65
    POL
    -0.62
    LOAD
    -0.62
    POSITIVE LOGITS
    ines
    1.05
    anch
    1.03
    ith
    1.03
    ower
    1.00
    inks
    0.98
    anty
    0.94
    ub
    0.93
    agging
    0.93
    ank
    0.93
    ubs
    0.92
    Activations Density 0.019%

    No Known Activations