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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 5372
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    Explanations

    meanings or interpretations of text relationships based on various signals within the text

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and special characters in the text

    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
    RF
    -0.71
    tarian
    -0.66
    VPN
    -0.64
    ensible
    -0.64
    rawler
    -0.63
    iration
    -0.61
    Spoiler
    -0.60
    GHz
    -0.60
    Privacy
    -0.60
    enth
    -0.60
    POSITIVE LOGITS
     qui
    1.16
     si
    1.05
     tu
    0.95
     il
    0.95
     alle
    0.92
     eh
    0.92
     ni
    0.90
     et
    0.90
     nun
    0.90
     este
    0.89
    Activations Density 0.044%

    No Known Activations