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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. 9976
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    Explanations

    phrases related to specific names, likely people or places

    oai_token-act-pair · gpt-3.5-turbo

    specific characters or punctuation that may signify an important aspect of the text

    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
     stre
    -0.75
    TERN
    -0.75
     Tenth
    -0.72
     WiFi
    -0.71
    PDATE
    -0.69
     Gravity
    -0.69
     Ply
    -0.67
     Polk
    -0.67
     Pigs
    -0.66
     Stellar
    -0.66
    POSITIVE LOGITS
    af
    1.33
    ak
    1.32
    ach
    1.26
    atche
    1.23
    á
    1.22
    ac
    1.21
    atar
    1.20
    av
    1.20
    awar
    1.17
    aj
    1.16
    Activations Density 0.216%

    No Known Activations