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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. 13251
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to materials and their properties

    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
     innocence
    -0.70
    ongyang
    -0.62
     socks
    -0.61
     Andersen
    -0.59
     sock
    -0.58
     peek
    -0.58
     goblin
    -0.57
     Ner
    -0.56
     rag
    -0.56
     imitation
    -0.55
    POSITIVE LOGITS
    ritic
    0.98
    urgy
    0.97
    opol
    0.80
    henko
    0.79
    ãĤ¡
    0.76
    ALLY
    0.75
    urgical
    0.73
    roth
    0.71
     unfocusedRange
    0.70
    OLOG
    0.70
    Activations Density 0.094%

    No Known Activations