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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
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    Explanations

    rarely occurring events or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the words "rarely" and "seldom."

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Destruction
    -0.74
    uid
    -0.73
    arta
    -0.70
     Redemption
    -0.68
    hang
    -0.67
    oÄŁ
    -0.67
    lass
    -0.67
     Submission
    -0.67
    ablishment
    -0.66
     Tags
    -0.65
    POSITIVE LOGITS
    entimes
    1.05
    theless
    1.03
     overlooked
    0.82
    icably
    0.81
     hesitate
    0.80
    epad
    0.80
     hesitated
    0.79
     dime
    0.78
     encountered
    0.78
     seen
    0.77
    Activations Density 0.007%

    No Known Activations