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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. 5189
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    Explanations

    references to "over", particularly implying a high level or intensity

    oai_token-act-pair · gpt-3.5-turbo

    the word "over" 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
    illary
    -0.77
    ãĥ¼ãĥĨãĤ£
    -0.68
    arium
    -0.66
    00007
    -0.62
    562
    -0.61
    651
    -0.61
    UE
    -0.59
    661
    -0.59
    ero
    -0.59
    KE
    -0.58
    POSITIVE LOGITS
    tones
    0.95
    drive
    0.92
    lord
    0.91
    haul
    0.85
    clock
    0.84
    loading
    0.83
    population
    0.82
    hang
    0.82
    awed
    0.77
    rolet
    0.77
    Activations Density 0.049%

    No Known Activations