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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. 12689
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    Explanations

    words related to the aftermath or consequences of events

    oai_token-act-pair · gpt-3.5-turbo

    references to consequences or aftereffects, particularly relating to environmental or political issues

    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
    cius
    -0.96
    ogun
    -0.88
    ced
    -0.85
    pir
    -0.85
    assian
    -0.84
    ajo
    -0.82
    cer
    -0.81
    asus
    -0.80
    iverpool
    -0.80
    uana
    -0.79
    POSITIVE LOGITS
     fallout
    1.64
     spill
    0.86
    romeda
    0.85
     repercussions
    0.80
     deflation
    0.77
     aftermath
    0.75
     consequences
    0.74
     crater
    0.72
     breakup
    0.71
     arising
    0.70
    Activations Density 0.008%

    No Known Activations