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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. 9-RES-JB
    11. 19583
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    Explanations

    phrases describing transformations or changes over time

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to transformation and change over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "]=>
    -0.75
    otiation
    -0.71
    lations
    -0.68
     confir
    -0.68
    ription
    -0.66
     Recall
    -0.66
    ciation
    -0.64
     furthermore
    -0.64
    quickShipAvailable
    -0.63
    ¨
    -0.63
    POSITIVE LOGITS
     unthinkable
    1.17
     unimaginable
    0.96
     harmless
    0.94
     taboo
    0.93
     dormant
    0.93
    thinkable
    0.91
     insignificant
    0.87
     innocuous
    0.87
     invincible
    0.86
     mundane
    0.85
    Activations Density 0.248%

    No Known Activations