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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. 3-RES-JB
    6. 15637
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    INDEX
    Explanations

    routes or paths within a context, emphasizing their optimization or significance

    oai_token-act-pair · gpt-3.5-turbo

    references to routes or pathways

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uster
    -0.93
    hem
    -0.86
    sle
    -0.83
    minster
    -0.82
    luaj
    -0.78
    oat
    -0.77
     Hots
    -0.77
    usters
    -0.75
    akens
    -0.75
    irc
    -0.71
    POSITIVE LOGITS
     routes
    1.18
     route
    1.13
    route
    1.07
    Route
    0.89
    finder
    0.83
     Route
    0.83
    WAYS
    0.83
    finding
    0.82
    WAY
    0.81
     Rout
    0.76
    Activations Density 0.011%

    No Known Activations