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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. 6-RES-JB
    11. 12122
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    Explanations

    years from the 80s and 90s

    oai_token-act-pair · gpt-3.5-turbo

    references to decades, particularly the 1980s and 1990s

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     affirmation
    -0.70
     vain
    -0.68
     fronts
    -0.64
     pse
    -0.63
     justification
    -0.61
     exha
    -0.61
     foundations
    -0.60
     plateau
    -0.60
     aim
    -0.60
     sympathetic
    -0.60
    POSITIVE LOGITS
    20439
    1.27
    70
    1.01
    40
    0.98
    00
    0.96
    71
    0.94
    ï¸ı
    0.93
    76
    0.93
    66
    0.92
    39
    0.92
    69
    0.92
    Activations Density 0.101%

    No Known Activations