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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. 17835
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    Explanations

    references to criminal activities or investigations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to criminal activity or offenses

    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
    yip
    -0.90
     Remastered
    -0.80
    pole
    -0.72
    metry
    -0.72
    mates
    -0.71
    blank
    -0.71
    chell
    -0.71
     Canaver
    -0.70
    daq
    -0.69
    galitarian
    -0.69
    POSITIVE LOGITS
    ized
    1.12
    ization
    1.12
    izing
    1.11
    izes
    1.07
    ising
    1.05
     mastermind
    1.01
    ised
    1.01
     justice
    1.00
    isation
    0.98
     prosecutions
    0.96
    Activations Density 0.047%

    No Known Activations