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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. 9143
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    Explanations

    references to law enforcement officers or military personnel

    oai_token-act-pair · gpt-3.5-turbo

    terms related to law enforcement personnel and their activities

    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
    theless
    -0.77
    uries
    -0.74
    urated
    -0.71
    pace
    -0.69
    Winner
    -0.69
    ership
    -0.68
    tern
    -0.67
    changes
    -0.67
    chain
    -0.66
    soc
    -0.66
    POSITIVE LOGITS
     trooper
    1.37
     Trooper
    1.33
     troopers
    1.30
     uniforms
    0.83
     stationed
    0.79
     colonel
    0.78
    opers
    0.78
    FTWARE
    0.76
     Tro
    0.75
    geant
    0.75
    Activations Density 0.013%

    No Known Activations