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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. 8314
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    Explanations

    numbers with a decimal point

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and decimal values

    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
    Not in Any Lists

    No Comments

    Negative Logits
     bang
    -0.67
     Jes
    -0.59
     keyboards
    -0.57
     Cec
    -0.56
     Span
    -0.56
     boun
    -0.54
     percussion
    -0.54
    artment
    -0.54
     Bunny
    -0.54
     galleries
    -0.54
    POSITIVE LOGITS
    024
    1.12
    618
    1.07
    025
    1.06
    920
    1.03
    800
    0.97
    200000
    0.96
    050
    0.94
    250
    0.93
    080
    0.93
    660
    0.91
    Activations Density 0.080%

    No Known Activations