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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. 8-RES-JB
    11. 11690
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    INDEX
    Explanations

    quotations in text

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases emphasizing importance or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     incorpor
    -0.69
     psychedelic
    -0.67
     Mirage
    -0.67
     tyres
    -0.66
     synerg
    -0.65
     advis
    -0.65
     attract
    -0.65
     vulner
    -0.64
     conduc
    -0.62
     pigeon
    -0.62
    POSITIVE LOGITS
    ï¸ı
    1.26
    âĶĢâĶĢ
    1.18
    âĶĢâĶĢâĶĢâĶĢ
    0.89
    ecd
    0.88
    _>
    0.85
    âķIJâķIJ
    0.84
    ever
    0.84
    nder
    0.84
    ogether
    0.83
    âĸijâĸij
    0.82
    Activations Density 0.195%

    No Known Activations