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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. 7-RES-JB
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    Explanations

    mentions of military forces in conflict contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to military forces involved in conflicts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hop
    -0.74
    å£
    -0.72
    acular
    -0.70
    \\\\\\\\
    -0.69
    STER
    -0.68
    CHAT
    -0.68
    Dub
    -0.67
    nder
    -0.66
    ulent
    -0.66
    Consumer
    -0.65
    POSITIVE LOGITS
     stationed
    1.12
     loyal
    1.00
     deployed
    0.96
     fatig
    0.92
     trained
    0.90
     recruited
    0.89
     garrison
    0.87
     mobilized
    0.87
     engaged
    0.84
     maj
    0.83
    Activations Density 0.028%

    No Known Activations