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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. 10-RES-JB
    11. 6954
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical terms and constructs related to programming and data structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    /
    -0.72
     foregoing
    -0.71
     afore
    -0.71
     demol
    -0.69
    ãĢı
    -0.68
    ktop
    -0.67
    "-
    -0.64
    ''.
    -0.60
    conservancy
    -0.60
     yourselves
    -0.60
    POSITIVE LOGITS
     =
    1.27
    Args
    1.01
    Pos
    1.00
    Num
    0.98
    Obj
    0.96
    Prev
    0.94
    Names
    0.93
    Name
    0.93
     <-
    0.92
    Size
    0.87
    Activations Density 0.057%

    No Known Activations