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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. 6-RES-JB
    11. 20652
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    Explanations

    words related to technical programming terms and actions, possibly focused on low-level code elements and operations

    oai_token-act-pair · gpt-3.5-turbo

    words and concepts related to hierarchy and ownership

    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
    ILA
    -0.72
     Kau
    -0.69
     Moroc
    -0.67
     Stack
    -0.67
    Bloom
    -0.67
     Instr
    -0.66
     Mub
    -0.65
     Tate
    -0.64
     Won
    -0.64
     Board
    -0.63
    POSITIVE LOGITS
    lihood
    1.00
    ment
    0.97
    xual
    0.92
    edly
    0.88
    ously
    0.87
    erent
    0.86
    ingly
    0.85
    aneously
    0.84
    ity
    0.82
    theless
    0.82
    Activations Density 0.382%

    No Known Activations