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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. 22800
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    Explanations

    decimal numbers in a specific range

    oai_token-act-pair · gpt-3.5-turbo

    numeric values or symbols used in statistical or mathematical contexts

    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
     unders
    -0.62
     battered
    -0.62
     travelers
    -0.62
     gulf
    -0.59
     modem
    -0.58
     privileged
    -0.58
     jihad
    -0.57
     Cher
    -0.57
     layered
    -0.56
     Aj
    -0.56
    POSITIVE LOGITS
    70710
    1.17
    005
    1.16
    025
    1.15
    0001
    1.14
    000000
    1.14
    00000
    1.14
    05
    1.13
    002
    1.12
    0000
    1.08
    9999
    1.07
    Activations Density 0.053%

    No Known Activations