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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. 22707
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    Explanations

    specific words related to catalogs or listings

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of catalogs

    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
    Downloadha
    -0.83
    thritis
    -0.68
    awar
    -0.68
    maxwell
    -0.67
     Johann
    -0.67
    wi
    -0.66
    atever
    -0.64
    outher
    -0.63
    adows
    -0.62
    twitch
    -0.62
    POSITIVE LOGITS
    uing
    1.20
    ued
    1.15
    ues
    1.07
     catalogue
    1.06
     catalog
    1.04
    eers
    0.98
    ysis
    0.89
    urally
    0.83
    ãĤ¼ãĤ¦ãĤ¹
    0.82
    alogy
    0.81
    Activations Density 0.021%

    No Known Activations