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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. 1-RES-JB
    11. 2568
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    Explanations

    documents or evidence containing sensitive or classified information

    oai_token-act-pair · gpt-3.5-turbo

    terms related to incriminating evidence and whistleblowing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jc
    -0.85
    own
    -0.73
    enburg
    -0.71
     Temper
    -0.70
    orest
    -0.70
    jp
    -0.68
    parser
    -0.67
    unic
    -0.66
    urtle
    -0.65
    udeb
    -0.65
    POSITIVE LOGITS
     informants
    1.11
     informant
    1.09
     disclosures
    1.06
     dossier
    1.03
     subpoen
    1.00
     revelations
    1.00
    FBI
    0.99
     investigations
    0.97
     allegations
    0.94
     incrim
    0.94
    Activations Density 0.903%

    No Known Activations