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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. 16697
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    Explanations

    phrases related to government reports and oversight issues

    oai_token-act-pair · gpt-3.5-turbo

    references to government oversight and accountability issues

    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
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    Negative Logits
    tainment
    -0.98
     ðŁĻĤ
    -0.87
    ãĤ·ãĥ£
    -0.85
     congr
    -0.84
    uminati
    -0.84
    usalem
    -0.78
     apocalypse
    -0.75
    ocalyptic
    -0.75
     ç¥ŀ
    -0.75
    iku
    -0.75
    POSITIVE LOGITS
     audits
    1.37
     improperly
    1.33
     deficiencies
    1.26
     audit
    1.24
     inappropriately
    1.23
     improper
    1.20
     misconduct
    1.20
     violations
    1.20
     inspections
    1.19
     supervisors
    1.18
    Activations Density 1.081%

    No Known Activations