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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. 0-RES-JB
    11. 7866
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    Explanations

    weapons or military-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to collections of items or resources, particularly in a military or strategic context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cath
    -0.71
    poll
    -0.70
     Cath
    -0.66
    ç
    -0.62
    parent
    -0.60
    terms
    -0.60
    INESS
    -0.58
    cent
    -0.58
    govern
    -0.57
     Luther
    -0.56
    POSITIVE LOGITS
     arsenal
    3.67
     arsen
    2.31
     repertoire
    2.12
     stockpile
    1.83
     reperto
    1.57
     playbook
    1.52
     weaponry
    1.52
    senal
    1.26
     assortment
    1.24
     stash
    1.22
    Activations Density 0.017%

    No Known Activations