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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
    11. 12595
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    Explanations

    references to military or combat-related activities

    oai_token-act-pair · gpt-3.5-turbo

    information related to military actions and conflict

    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
    natureconservancy
    -0.83
     millennials
    -0.76
     audi
    -0.73
     Marvel
    -0.72
     Autism
    -0.72
     Oprah
    -0.70
     endors
    -0.67
     congr
    -0.67
     STEM
    -0.65
     Journals
    -0.64
    POSITIVE LOGITS
     raiding
    1.00
     themselves
    0.94
     artillery
    0.89
    numbered
    0.88
     armoured
    0.88
     outnumbered
    0.86
    ilitary
    0.85
     raided
    0.85
     seizing
    0.84
     besie
    0.83
    Activations Density 0.732%

    No Known Activations