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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. 7-RES-JB
    6. 4477
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    Explanations

    phrases related to the potential impact of actions or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to support and effectiveness in policies or actions

    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
     Elements
    -0.72
     towed
    -0.64
     nicknamed
    -0.63
     handwritten
    -0.62
     scanned
    -0.62
    leted
    -0.60
     photographed
    -0.59
     gorgeous
    -0.59
     spaced
    -0.58
     assorted
    -0.57
    POSITIVE LOGITS
     anymore
    1.37
     nor
    1.18
    nor
    1.00
     whatsoever
    0.98
    galitarian
    0.95
     any
    0.89
     unless
    0.88
     necessarily
    0.88
     anything
    0.88
    ANY
    0.86
    Activations Density 0.536%

    No Known Activations