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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. 6-RES-JB
    6. 6030
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    INDEX
    Explanations

    words related to specific tangible objects or items, such as 'egg', 'lab', 'bridge', 'pipe', 'coal', 'amp', 'coat', 'ice', 'wind', 'throat', 'stock', 'petrol'

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to physical substances or objects

    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
     Marketable
    -0.74
    VICE
    -0.73
    Reloaded
    -0.70
    ,,,,
    -0.70
    ADRA
    -0.69
     Transparency
    -0.68
     Hots
    -0.66
    HCR
    -0.66
    Enhanced
    -0.66
     Worldwide
    -0.65
    POSITIVE LOGITS
    iest
    0.87
    tro
    0.86
    pipe
    0.85
    bell
    0.81
    hol
    0.80
    bridge
    0.78
    bag
    0.78
    wagon
    0.77
    bowl
    0.77
    coin
    0.76
    Activations Density 0.626%

    No Known Activations