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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. 15943
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    Explanations

    phrases indicating criticism or negative judgment

    oai_token-act-pair · gpt-3.5-turbo

    special characters or empty strings

    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
     Patriarch
    -0.69
     Nieto
    -0.68
     Mellon
    -0.64
     Miko
    -0.64
     machine
    -0.63
     Synd
    -0.63
     Hole
    -0.62
     fringe
    -0.62
    xus
    -0.62
     Leopard
    -0.61
    POSITIVE LOGITS
    rozen
    1.39
    requently
    1.37
    ortun
    1.36
    ortunate
    1.33
    ocusing
    1.32
    avour
    1.31
    amiliar
    1.29
    ocused
    1.28
    luent
    1.26
    requency
    1.26
    Activations Density 0.049%

    No Known Activations