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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. 6-RES-JB
    6. 9107
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    INDEX
    Explanations

    symbol combinations representing a specific notation or instruction

    oai_token-act-pair · gpt-3.5-turbo

    contractions indicating negation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     decomp
    -0.70
     contradictions
    -0.70
     minim
    -0.70
     GPS
    -0.69
     cob
    -0.69
     gib
    -0.68
    çīĪ
    -0.68
     shack
    -0.67
     snacks
    -0.67
     recording
    -0.66
    POSITIVE LOGITS
    Ĵ
    1.25
    Ļ
    1.15
    ¬
    1.09
    ¤
    1.08
    £
    1.08
    ¡
    1.07
    Ķ
    1.07
    ĵ
    1.04
    ij
    1.04
    İ
    1.01
    Activations Density 0.253%

    No Known Activations