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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. 1-RES-JB
    11. 7050
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    Explanations

    names or words related to locations, specifically referring to "Mon" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Mon" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OHN
    -0.87
    ONSORED
    -0.83
    ãģį
    -0.83
    æĸ¹
    -0.81
    ACTED
    -0.80
     Norn
    -0.78
    éĹĺ
    -0.76
    NRS
    -0.76
     Odyssey
    -0.73
    MODE
    -0.72
    POSITIVE LOGITS
    itored
    1.14
    olithic
    0.99
    olith
    0.96
    oton
    0.90
    etheless
    0.89
    stros
    0.88
    opoly
    0.86
    itors
    0.86
    ero
    0.86
    ajo
    0.86
    Activations Density 0.004%

    No Known Activations