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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. 10-RES-JB
    6. 22632
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    INDEX
    Explanations

    phrases related to weapons and military actions

    oai_token-act-pair · gpt-3.5-turbo

    references to historical events or conditions related to conflict and its consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -1.15
     pione
    -0.99
     exting
    -0.96
     conduc
    -0.96
     streng
    -0.94
     conclud
    -0.93
     destro
    -0.90
     tremend
    -0.89
    ortunately
    -0.86
     unnecess
    -0.86
    POSITIVE LOGITS
    under
    1.05
    appropriate
    0.96
    inar
    0.92
    unders
    0.91
    emphasis
    0.90
    lore
    0.90
    urban
    0.90
    unc
    0.89
    lance
    0.86
    apest
    0.85
    Activations Density 0.141%

    No Known Activations