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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. 3695
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    Explanations

    mentions of special operations, units, forces, and related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to military operations and special forces

    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
    ãĤ¨ãĥ«
    -0.71
    ynthesis
    -0.70
    ibal
    -0.68
    ãĥ´
    -0.68
    wash
    -0.67
    apest
    -0.67
     Neh
    -0.64
    é¾įå¥ij士
    -0.63
    blank
    -0.62
     discont
    -0.62
    POSITIVE LOGITS
     units
    0.77
    eers
    0.73
     teams
    0.71
     talents
    0.69
     ponies
    0.66
     intervened
    0.65
     unit
    0.65
     visas
    0.65
     powers
    0.64
    BILITIES
    0.64
    Activations Density 0.127%

    No Known Activations