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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. 7-RES-JB
    6. 18320
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    INDEX
    Explanations

    phrases related to accumulation or collecting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to accumulation or gathering of resources or data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otiation
    -0.75
    sey
    -0.73
    hift
    -0.72
    hov
    -0.70
    lez
    -0.69
    ney
    -0.66
    chens
    -0.64
    generic
    -0.64
    pper
    -0.64
    pher
    -0.63
    POSITIVE LOGITS
    ulative
    1.12
     accumulated
    1.06
     accumulation
    0.93
     accumulate
    0.93
    ãĤ¤ãĥĪ
    0.90
     accum
    0.90
     accumulating
    0.89
     piles
    0.86
     amassed
    0.86
    é¾
    0.76
    Activations Density 0.027%

    No Known Activations