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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. 9-RES-JB
    6. 19345
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    INDEX
    Explanations

    personal names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    instances of strong emotional opinions or intense reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abouts
    -0.74
     Atomic
    -0.66
     bandits
    -0.66
     adventures
    -0.65
     starve
    -0.64
     obscurity
    -0.63
     disapprove
    -0.63
     abandoned
    -0.63
     sentimental
    -0.63
     organise
    -0.62
    POSITIVE LOGITS
    ³³³
    1.34
    ³³³³³³³³
    1.32
    ³³³³
    1.25
    âĢ
    1.25
    ³³³³³³³³³³³³³³³³
    1.24
    **
    1.21
    ³³
    1.14
    îĢ
    1.11
    âĶ
    1.11
     âĢ
    1.08
    Activations Density 0.361%

    No Known Activations