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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. 14041
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    INDEX
    Explanations

    mentions of traditional practices and beliefs

    oai_token-act-pair · gpt-3.5-turbo

    references to traditional concepts or practices

    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
    upon
    -0.70
    Head
    -0.67
    mentation
    -0.67
    robe
    -0.66
     Wanted
    -0.65
    latest
    -0.64
     Imran
    -0.64
    Corp
    -0.63
    Drug
    -0.63
     Allaah
    -0.62
    POSITIVE LOGITS
    ists
    1.00
    istic
    0.95
    arily
    0.93
    ist
    0.91
    ised
    0.87
    ties
    0.87
    izations
    0.85
    ized
    0.85
    istries
    0.77
     notions
    0.76
    Activations Density 0.047%

    No Known Activations