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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. 4-RES-JB
    11. 19578
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    Explanations

    references to legal or official documents

    oai_token-act-pair · gpt-3.5-turbo

    references to immigration documents or papers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.82
    si
    -0.76
    oise
    -0.73
    rian
    -0.70
    uez
    -0.69
    nel
    -0.69
    lua
    -0.68
    range
    -0.67
    iak
    -0.66
    inventory
    -0.66
    POSITIVE LOGITS
     papers
    1.09
     Papers
    0.94
    chool
    0.90
     towels
    0.82
    mith
    0.80
    peed
    0.78
    hig
    0.71
     mater
    0.71
     documents
    0.70
    papers
    0.69
    Activations Density 0.012%

    No Known Activations