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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5922
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    Explanations

    titles or mentions of war-related content

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of war

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sembly
    -0.90
    essee
    -0.88
    Ħ¢
    -0.85
    aunder
    -0.79
    ħĭ
    -0.79
    issance
    -0.77
    İĭ
    -0.72
     incorpor
    -0.72
    aminer
    -0.70
     livest
    -0.67
    POSITIVE LOGITS
    rior
    1.30
    riors
    1.23
    fare
    1.22
    lord
    1.19
    lords
    1.19
    locks
    1.07
    restling
    0.98
    ping
    0.94
    zone
    0.93
    ped
    0.93
    Activations Density 0.028%

    No Known Activations