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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. 21681
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    INDEX
    Explanations

    phrases containing a sense of uncertainty or predicting future events

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or conditions that imply a potential future impact

    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
     Rodrig
    -0.71
     bc
    -0.65
     Brune
    -0.63
    ãĥ¯
    -0.63
     reins
    -0.63
    ECA
    -0.61
    veland
    -0.60
     Chung
    -0.59
     Conrad
    -0.59
    ctx
    -0.58
    POSITIVE LOGITS
     impending
    1.05
     imminent
    0.88
     apocalypse
    0.80
     poisoning
    0.80
     involvement
    0.77
    incerity
    0.77
     wrongdoing
    0.77
     criminality
    0.76
     needing
    0.76
     happening
    0.74
    Activations Density 0.541%

    No Known Activations