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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. 9-RES-JB
    6. 22621
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical locations or statistical data related to demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arta
    -0.65
    REF
    -0.62
    acan
    -0.62
    video
    -0.61
    eat
    -0.59
    urn
    -0.58
    VID
    -0.57
    LCS
    -0.57
    LED
    -0.56
    usb
    -0.56
    POSITIVE LOGITS
     these
    1.22
     those
    1.16
     whichever
    1.10
     them
    0.97
     ones
    0.96
    these
    0.93
     each
    0.88
     THESE
    0.88
    those
    0.87
     none
    0.87
    Activations Density 0.955%

    No Known Activations