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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. 4330
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    INDEX
    Explanations

    mentions of challenges, threats, and tough situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating various forms of challenges or crises

    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
    inet
    -0.76
    ufact
    -0.74
     danced
    -0.71
     enh
    -0.69
     Alert
    -0.67
    ONSORED
    -0.65
    abase
    -0.65
    Chain
    -0.61
    ocket
    -0.61
    dyl
    -0.60
    POSITIVE LOGITS
     adversity
    1.09
     wrath
    1.07
     dilemma
    0.98
     daunting
    0.94
     predicament
    0.91
     setbacks
    0.89
     setback
    0.85
     challenges
    0.85
     difficulties
    0.84
     repercussions
    0.83
    Activations Density 0.155%

    No Known Activations