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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. 6-RES-JB
    11. 18678
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    Explanations

    information sources or origins of various data in articles

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating sources of information or material origins

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hood
    -0.75
    christ
    -0.69
    most
    -0.67
    ndum
    -0.66
    lihood
    -0.63
    idad
    -0.62
     Skies
    -0.61
    issance
    -0.61
    bridge
    -0.60
     Cynthia
    -0.59
    POSITIVE LOGITS
     concentrated
    0.88
    Database
    0.68
     attributable
    0.67
    Mit
    0.67
    Oracle
    0.66
    ECD
    0.66
     clustered
    0.65
    erred
    0.64
    orted
    0.64
     gone
    0.63
    Activations Density 0.450%

    No Known Activations