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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. 3-RES-JB
    11. 3147
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    Explanations

    phrases related to issues or topics being discussed or investigated

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "matter."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olkien
    -0.79
    ©¶æ
    -0.78
    ãĥ³ãĤ¸
    -0.75
    inka
    -0.75
    ARP
    -0.74
    Tur
    -0.68
    NetMessage
    -0.68
    ingo
    -0.68
    SPA
    -0.68
    eatures
    -0.67
    POSITIVE LOGITS
    ional
    1.08
    enance
    0.91
     matter
    0.82
     matters
    0.81
    mong
    0.78
     attRot
    0.75
    matter
    0.75
     Matter
    0.72
    ively
    0.70
    ials
    0.69
    Activations Density 0.019%

    No Known Activations