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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. 18359
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    Explanations

    words related to warfare and military combat

    oai_token-act-pair · gpt-3.5-turbo

    references to military combat situations

    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
    Else
    -0.82
    gow
    -0.78
    eus
    -0.68
    eton
    -0.67
    ħĭ
    -0.64
    Property
    -0.62
    Tang
    -0.62
     Learns
    -0.61
    soever
    -0.60
    YE
    -0.60
    POSITIVE LOGITS
    iveness
    0.92
    fighting
    0.90
    ant
    0.79
    fighters
    0.78
     fatig
    0.77
    ments
    0.76
    ants
    0.75
    fighter
    0.75
     combat
    0.75
    querque
    0.74
    Activations Density 0.019%

    No Known Activations