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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. 11-RES-JB
    11. 15688
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    Explanations

    numerical values in sentences

    oai_token-act-pair · gpt-3.5-turbo

    special characters or symbols in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.91
    enza
    -0.72
    Sov
    -0.71
    ãĥ³ãĤ¸
    -0.66
    PDATE
    -0.62
    pell
    -0.60
    00000
    -0.60
    413
    -0.59
    468
    -0.58
    ''''
    -0.57
    POSITIVE LOGITS
     12
    0.64
     Vulkan
    0.62
    assadors
    0.62
     Spons
    0.60
    cise
    0.58
    aro
    0.57
     9
    0.57
     Driver
    0.56
     Access
    0.56
     Feature
    0.56
    Activations Density 0.033%

    No Known Activations