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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. 9-RES-JB
    6. 18714
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    Explanations

    names of locations or groups related to a specific region or culture

    oai_token-act-pair · gpt-3.5-turbo

    references to a particular group or entity within a specific context, particularly related to names or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Luthor
    -0.73
     Luther
    -0.69
    ãĤ¹ãĥĪ
    -0.68
     exorc
    -0.61
     TRANS
    -0.61
    matter
    -0.61
     steroids
    -0.61
     infiltrate
    -0.59
     VK
    -0.59
     Mayhem
    -0.58
    POSITIVE LOGITS
    esome
    1.51
    akening
    1.40
    aii
    1.21
    yer
    1.11
    akens
    1.07
    ashington
    1.06
    kward
    1.06
    orld
    1.05
    amba
    1.03
    orks
    1.03
    Activations Density 0.043%

    No Known Activations