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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. 11-RES-JB
    11. 770
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    Explanations

    dates

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and statistics related to events or data trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Synopsis
    -0.67
    inges
    -0.66
    hai
    -0.65
    cheat
    -0.63
    inki
    -0.61
    udeb
    -0.60
    isoft
    -0.58
    ggles
    -0.57
    drm
    -0.57
    driving
    -0.57
    POSITIVE LOGITS
     alone
    1.07
     83
    0.96
     157
    0.96
     131
    0.95
     84
    0.94
     133
    0.94
     81
    0.93
     87
    0.92
     156
    0.92
     147
    0.92
    Activations Density 0.175%

    No Known Activations