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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. 14222
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    Explanations

    numerical values mixed with various symbols, potentially related to data processing or output

    oai_token-act-pair · gpt-3.5-turbo

    patterns related to numerical values and measurements

    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
     ÂŃ
    -1.89
    âĢ³
    -1.29
    âĢIJ
    -1.24
     –
    -1.22
    ÂŃ
    -1.06
    âĢ²
    -1.03
    –
    -1.01
    ————————————————
    -0.90
     Isis
    -0.89
    .–
    -0.83
    POSITIVE LOGITS
    ...
    2.74
    ,...
    2.56
    ....
    2.34
    "...
    2.30
    ..."
    2.29
    ...?
    2.28
    .....
    2.16
    ......
    2.13
    ...)
    2.11
    )...
    2.08
    Activations Density 0.366%

    No Known Activations