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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. 3-RES-JB
    11. 15955
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    Explanations

    mentions of different government agencies

    oai_token-act-pair · gpt-3.5-turbo

    references to government agencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.80
    Shock
    -0.71
     Plate
    -0.69
     Powder
    -0.69
     Koran
    -0.67
    gran
    -0.65
    CONT
    -0.65
    comes
    -0.65
    construct
    -0.63
     Tone
    -0.63
    POSITIVE LOGITS
     agencies
    1.07
    encies
    1.06
     tasked
    0.86
    etter
    0.85
    acco
    0.84
     proport
    0.82
    irtual
    0.82
    afety
    0.80
     administrator
    0.79
    ENCY
    0.78
    Activations Density 0.020%

    No Known Activations