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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. 5-RES-JB
    6. 7810
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    Explanations

    names of geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names related to individuals and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.74
     Archdemon
    -0.71
    arcity
    -0.61
    roach
    -0.61
    behind
    -0.60
    MAC
    -0.60
    healthy
    -0.59
    OPLE
    -0.59
    ournals
    -0.58
    rers
    -0.58
    POSITIVE LOGITS
    eton
    0.81
    etric
    0.75
    achev
    0.73
    ibrary
    0.70
    kov
    0.70
    tes
    0.69
    ר
    0.68
    oxide
    0.67
    pg
    0.65
    beck
    0.65
    Activations Density 0.249%

    No Known Activations