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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. 1516
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    Explanations

    numerical values preceded by a dollar sign followed by descriptions of financial transactions

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or statistics

    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
    iates
    -0.79
    iating
    -0.78
    iator
    -0.74
    iated
    -0.72
    ivari
    -0.72
    pmwiki
    -0.71
    itably
    -0.71
    iations
    -0.70
    NetMessage
    -0.67
     Lauder
    -0.67
    POSITIVE LOGITS
    06
    1.38
    090
    1.36
    07
    1.33
    03
    1.31
    08
    1.29
    04
    1.28
    02
    1.27
    9999
    1.24
    999
    1.18
    05
    1.16
    Activations Density 0.058%

    No Known Activations