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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. 21738
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    Explanations

    years in the 80s with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    references to specific decades and their associated cultural or historical context

    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
     affirmation
    -0.70
     vain
    -0.65
     aim
    -0.63
     defiant
    -0.62
     careful
    -0.61
     exha
    -0.61
    atis
    -0.60
     Ging
    -0.60
     plateau
    -0.59
     mockery
    -0.59
    POSITIVE LOGITS
    20439
    1.32
    70
    1.01
    âĢ³
    1.00
    40
    0.96
    00
    0.96
    %"
    0.93
    66
    0.92
    76
    0.91
    MJ
    0.90
    50
    0.90
    Activations Density 0.090%

    No Known Activations