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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 5429
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    Explanations

    numbers or digit sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly those related to quantities or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    staking
    -0.72
    efficients
    -0.66
    oard
    -0.66
    bear
    -0.64
     separat
    -0.62
    mble
    -0.61
    locked
    -0.61
    ntil
    -0.61
     tradem
    -0.61
    locks
    -0.60
    POSITIVE LOGITS
    rd
    1.77
    RD
    1.02
    arget
    0.84
    aquin
    0.80
    rade
    0.80
    endez
    0.80
    RF
    0.79
    DS
    0.78
    osa
    0.78
    803
    0.77
    Activations Density 0.064%

    No Known Activations