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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. 8-RES-JB
    6. 2561
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    Explanations

    details related to conflicts or disputes between individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to rivalry and competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    )|
    -0.49
    colored
    -0.47
    olis
    -0.47
     ï
    -0.46
    OTOS
    -0.45
    CBS
    -0.44
    VERTISEMENT
    -0.43
    olor
    -0.43
    î
    -0.43
    Panel
    -0.43
    POSITIVE LOGITS
     reckoned
    0.58
     reckon
    0.58
     reckoning
    0.58
     scarcely
    0.55
     doubtless
    0.53
     inertia
    0.52
    itto
    0.49
     invariably
    0.49
     utterly
    0.49
     langu
    0.48
    Activations Density 2.708%

    No Known Activations