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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. 4500
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    INDEX
    Explanations

    names (especially 'Lloyd') and possibly locations or events related to those names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Lloyd" and related entities

    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
    cess
    -0.91
    bell
    -0.89
    shire
    -0.88
    stall
    -0.82
    brid
    -0.80
    fold
    -0.78
    bred
    -0.76
    cn
    -0.75
    Interstitial
    -0.74
    vision
    -0.73
    POSITIVE LOGITS
    yip
    0.77
    ittal
    0.73
    ecause
    0.71
    afort
    0.69
     Ridley
    0.68
    appy
    0.68
     membranes
    0.66
    ermott
    0.66
    halla
    0.65
    eki
    0.65
    Activations Density 0.157%

    No Known Activations