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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. 2-RES-JB
    6. 16190
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    INDEX
    Explanations

    mentions of dams

    oai_token-act-pair · gpt-3.5-turbo

    references to dams and dam-related discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ISTER
    -0.76
    ASY
    -0.72
     Benefits
    -0.71
    APD
    -0.66
     Hawth
    -0.65
     Brewer
    -0.64
    omal
    -0.63
    lihood
    -0.63
    atile
    -0.63
    Leary
    -0.62
    POSITIVE LOGITS
     dam
    1.24
    ascus
    0.94
    dump
    0.82
     dams
    0.79
    ilitation
    0.78
    lp
    0.77
    ming
    0.77
    iets
    0.77
    amaz
    0.77
    ufact
    0.76
    Activations Density 0.006%

    No Known Activations