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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. 7-RES-JB
    11. 4928
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    Explanations

    terms related to compliance, accountability, and standards

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to accountability and standards in operations or governance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sidx
    -0.87
     originals
    -0.77
    ividual
    -0.72
     prints
    -0.71
     Sud
    -0.69
    itches
    -0.68
     copies
    -0.68
    ategor
    -0.68
     resear
    -0.66
     orbits
    -0.65
    POSITIVE LOGITS
     rife
    1.10
     abound
    1.06
     paramount
    0.99
    ŃĶ
    0.96
     waning
    0.88
     inevitable
    0.87
     elusive
    0.87
    ģ«
    0.85
     forthcoming
    0.84
    ¬¼
    0.84
    Activations Density 0.461%

    No Known Activations