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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. 2673
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    Explanations

    alphanumeric sequences that resemble IDs or codes

    oai_token-act-pair · gpt-3.5-turbo

    numerical references and church-related terminology

    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
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    No Comments

    Negative Logits
    ĸļ
    -0.66
     Hole
    -0.61
    034
    -0.58
    oris
    -0.58
    urat
    -0.57
     loophole
    -0.55
    022
    -0.54
    aram
    -0.54
    021
    -0.53
    035
    -0.53
    POSITIVE LOGITS
    lishes
    0.74
    github
    0.71
    Fs
    0.64
    bish
    0.59
    mares
    0.59
    daq
    0.58
    market
    0.58
    ulty
    0.58
    else
    0.57
    elsius
    0.57
    Activations Density 0.054%

    No Known Activations