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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. 3-RES-JB
    11. 16552
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    Explanations

    references to specific decades

    oai_token-act-pair · gpt-3.5-turbo

    references to specific decades, particularly the 1960s and 1980s

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    head
    -0.78
    plan
    -0.72
    spons
    -0.69
    kell
    -0.68
    par
    -0.66
    Magikarp
    -0.64
    abol
    -0.61
    FIN
    -0.61
     hypot
    -0.60
    Condition
    -0.59
    POSITIVE LOGITS
    s
    0.96
    -'
    0.89
    eenth
    0.86
    sburg
    0.84
     census
    0.76
    sie
    0.75
    enthal
    0.74
    ties
    0.71
     twenties
    0.71
    ilton
    0.69
    Activations Density 0.035%

    No Known Activations