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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. 5629
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    Explanations

    phrases related to numbers and durations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol throughout the text

    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
     comprom
    -0.71
     Bethlehem
    -0.64
     dispers
    -0.62
     pastry
    -0.62
     interf
    -0.61
     toget
    -0.59
     metast
    -0.59
     NEC
    -0.58
     promul
    -0.58
     extrap
    -0.57
    POSITIVE LOGITS
    ª
    1.31
    ı
    1.25
    Ļ
    1.24
    Ĩ
    1.19
    ¬
    1.18
    ħ
    1.17
    ĵ
    1.16
    ĸ
    1.16
    į
    1.14
    ¢
    1.14
    Activations Density 0.265%

    No Known Activations