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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. 4-RES-JB
    11. 1388
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    INDEX
    Explanations

    words related to communication, such as sender, recipient, author, content, and title

    oai_token-act-pair · gpt-3.5-turbo

    references to authors, creators, and their relationships with the content they produce

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

    No Comments

    Negative Logits
    rosso
    -0.68
     Cups
    -0.64
    tics
    -0.61
    fw
    -0.58
    zan
    -0.57
    ulia
    -0.57
    clerosis
    -0.56
     Feet
    -0.55
    士
    -0.55
    Vs
    -0.54
    POSITIVE LOGITS
     thereof
    1.06
     portion
    0.80
    liest
    0.78
    iest
    0.78
    most
    0.69
    osite
    0.69
     of
    0.68
     section
    0.67
     storyline
    0.66
     theme
    0.65
    Activations Density 0.410%

    No Known Activations