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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. 4-RES-JB
    11. 15601
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    Explanations

    references to specific government departments or agencies

    oai_token-act-pair · gpt-3.5-turbo

    references to government departments and agencies

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

    No Comments

    Negative Logits
    pots
    -0.83
    NetMessage
    -0.83
    jad
    -0.83
    reddits
    -0.82
    bet
    -0.77
    wcs
    -0.76
    nets
    -0.75
    fman
    -0.70
    onyms
    -0.68
    wcsstore
    -0.67
    POSITIVE LOGITS
     Agriculture
    0.88
     Transportation
    0.87
     Justice
    0.87
     Commerce
    0.86
     Education
    0.83
     Homeland
    0.79
     justice
    0.79
     Instruction
    0.74
     Communication
    0.72
     Accountability
    0.72
    Activations Density 0.064%

    No Known Activations