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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. 1695
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    Explanations

    phrases related to starting events or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to starting points and progress in various contexts

    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
    yg
    -0.71
    ACTED
    -0.66
    hai
    -0.63
    SPONSORED
    -0.60
    xual
    -0.60
    enance
    -0.59
    luent
    -0.58
    CVE
    -0.58
    wolves
    -0.58
    clud
    -0.57
    POSITIVE LOGITS
     rocky
    0.79
    oots
    0.71
    lopp
    0.68
    urous
    0.67
     merry
    0.66
     tails
    0.63
     rave
    0.62
     Vaughan
    0.62
     adventures
    0.60
    rocal
    0.60
    Activations Density 0.083%

    No Known Activations