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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. 10-RES-JB
    6. 12959
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    Explanations

    expressions of hope or wish

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hope or positive anticipation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    女
    -0.69
    icidal
    -0.67
    IDER
    -0.67
    ItemImage
    -0.63
    vation
    -0.63
    urga
    -0.63
    illian
    -0.61
    avez
    -0.61
    ieri
    -0.61
    è¯
    -0.60
    POSITIVE LOGITS
     someday
    1.16
     you
    0.98
     whoever
    0.90
     nobody
    0.89
     somebody
    0.89
     everyone
    0.88
     everybody
    0.84
     we
    0.83
     they
    0.81
     someone
    0.81
    Activations Density 0.051%

    No Known Activations