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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. 8-RES-JB
    11. 10107
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    Explanations

    dates from historical events

    oai_token-act-pair · gpt-3.5-turbo

    dates in the 1800s

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.83
     webcam
    -0.75
     classified
    -0.70
     kicker
    -0.68
     grill
    -0.66
    Reviewer
    -0.62
     blot
    -0.62
     NAT
    -0.62
     podium
    -0.62
     burner
    -0.62
    POSITIVE LOGITS
    century
    1.05
    âĸĪâĸĪ
    1.02
    19
    0.97
    92
    0.96
    87
    0.95
    82
    0.94
    91
    0.94
    81
    0.94
    62
    0.93
    61
    0.93
    Activations Density 0.073%

    No Known Activations