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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 6667
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    INDEX
    Explanations

    short words or phrases related to causality or consequence

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating transitions or conclusions

    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
    utters
    -0.76
    stall
    -0.74
    load
    -0.70
    illed
    -0.69
    oute
    -0.68
    redit
    -0.67
    ins
    -0.67
    onite
    -0.66
    ldon
    -0.66
    aren
    -0.63
    POSITIVE LOGITS
     guise
    0.92
     context
    0.79
     manner
    0.79
     fashion
    0.77
     respects
    0.76
     vicinity
    0.74
     haste
    0.74
     meantime
    0.73
    çī
    0.70
    س
    0.70
    Activations Density 0.144%

    No Known Activations