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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 8526
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    INDEX
    Explanations

    mentions of specific locations followed by actions or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases or references to dangerous situations or dramatic events

    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
    utical
    -0.66
     dissu
    -0.62
     Blink
    -0.57
    iton
    -0.57
     Bloom
    -0.56
     Trog
    -0.55
     Squadron
    -0.54
     intending
    -0.54
     hopping
    -0.54
    hement
    -0.53
    POSITIVE LOGITS
    ³³³³
    1.19
    ³³³³³³³³³³³³³³³³
    1.11
    ³³³³³³³³
    1.10
    ³³³
    1.07
    ³³
    0.86
    SPONSORED
    0.74
    rawdownloadcloneembedreportprint
    0.68
    arta
    0.66
    sonian
    0.65
    Posted
    0.65
    Activations Density 0.701%

    No Known Activations