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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. 9-RES-JB
    11. 13555
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    Explanations

    patterns of symbols

    oai_token-act-pair · gpt-3.5-turbo

    repeating symbols or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mathemat
    -0.94
     reconc
    -0.91
     oun
    -0.81
     princ
    -0.80
     confir
    -0.78
    ccording
    -0.73
     glim
    -0.72
    20439
    -0.72
     nodd
    -0.71
     proport
    -0.69
    POSITIVE LOGITS
     .
    0.94
     ..
    0.80
     ]
    0.77
     ................
    0.76
     }}
    0.74
     />
    0.73
     !
    0.73
     ][
    0.73
     *
    0.72
     ********************************
    0.71
    Activations Density 0.011%

    No Known Activations