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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. 7-RES-JB
    11. 13551
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    Explanations

    years or dates

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years, particularly focusing on the year 1983 and related events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hop
    -0.74
    edge
    -0.65
     lawy
    -0.63
    hed
    -0.63
    ndra
    -0.62
    Ship
    -0.61
    bow
    -0.59
     invisible
    -0.58
    iant
    -0.58
    Edge
    -0.57
    POSITIVE LOGITS
    ixties
    0.77
    å¹
    0.75
     ����
    0.72
    -'
    0.71
    chev
    0.68
    nikov
    0.68
     onwards
    0.67
    orpor
    0.67
     Schwarzenegger
    0.66
    regate
    0.65
    Activations Density 0.042%

    No Known Activations