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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. 12307
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    Explanations

    words related to challenging or difficult situations

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with challenges or difficulties

    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
    tarians
    -0.79
    orp
    -0.78
    riter
    -0.78
    abad
    -0.75
    aviour
    -0.75
    mpeg
    -0.74
     largeDownload
    -0.74
    trak
    -0.74
    endment
    -0.71
    izations
    -0.71
    POSITIVE LOGITS
     daunting
    1.22
     obstacles
    0.97
     hurdle
    0.96
     obstacle
    0.95
     hurdles
    0.92
     task
    0.87
     intimidating
    0.86
     headache
    0.84
     uphill
    0.82
     formidable
    0.81
    Activations Density 0.028%

    No Known Activations