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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. 8-RES-JB
    11. 10902
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    Explanations

    sequences of numbers and code instructions

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and their manipulation in programming contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     NRA
    -0.76
    anooga
    -0.71
    hement
    -0.63
    undai
    -0.63
     coron
    -0.63
     Polic
    -0.62
     ALEC
    -0.62
     Olympia
    -0.62
    idelines
    -0.61
    ierrez
    -0.61
    POSITIVE LOGITS
    000000
    1.40
    0000
    1.39
    0000000000000000
    1.31
    0000000
    1.30
    00000000
    1.28
    00000
    1.28
    9999
    1.14
    FFFF
    1.13
    999
    1.06
    px
    1.04
    Activations Density 0.151%

    No Known Activations