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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. 6-RES-JB
    6. 11514
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    Explanations

    statistical or numerical information

    oai_token-act-pair · gpt-3.5-turbo

    references to financial statistics and political processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rax
    -0.44
    ourning
    -0.43
     Mandatory
    -0.43
    \",
    -0.42
     nutshell
    -0.42
    ,,,,,,,,
    -0.42
    ensional
    -0.41
     Dimensions
    -0.41
     (?,
    -0.40
     ------
    -0.40
    POSITIVE LOGITS
    ).[
    0.66
    !).
    0.61
     thereof
    0.56
     thereto
    0.56
     accordingly
    0.54
    ?).
    0.54
    ).
    0.52
    ]."
    0.50
     thereafter
    0.49
    )."
    0.44
    Activations Density 3.599%

    No Known Activations