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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. 11376
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    Explanations

    terms related to military activities and organizations

    oai_token-act-pair · gpt-3.5-turbo

    words related to military involvement or conditions

    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
    çīĪ
    -0.70
    bed
    -0.68
    space
    -0.68
     Feast
    -0.68
    ption
    -0.67
     Speech
    -0.65
     feast
    -0.64
     Defenders
    -0.64
    BOOK
    -0.62
    WAYS
    -0.61
    POSITIVE LOGITS
    arily
    1.30
    aries
    1.10
    ament
    1.10
    arist
    1.04
    ary
    1.04
    atem
    0.98
    iam
    0.96
    arie
    0.93
    ained
    0.92
    itia
    0.92
    Activations Density 0.045%

    No Known Activations