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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. 5-RES-JB
    6. 9543
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    Explanations

    specific character sequences, potentially related to titles or names

    oai_token-act-pair · gpt-3.5-turbo

    the character 'Ļ' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disadvant
    -0.95
     contrace
    -0.94
     mathemat
    -0.93
     Palestin
    -0.87
     misunder
    -0.81
     vulner
    -0.80
     smugglers
    -0.80
     pestic
    -0.79
     fortun
    -0.79
     satell
    -0.78
    POSITIVE LOGITS
    ï¸ı
    1.19
    ï¸
    0.99
    tre
    0.97
    Hol
    0.93
    ski
    0.87
    ship
    0.84
    İ
    0.80
    lime
    0.80
    lu
    0.77
    VICE
    0.77
    Activations Density 0.309%

    No Known Activations