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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. 2-RES-JB
    11. 21200
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    Explanations

    mentions of criminal activities or investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to crime-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ersed
    -0.79
    uran
    -0.73
    achev
    -0.72
    bil
    -0.72
     fuzzy
    -0.66
    arp
    -0.65
     Dak
    -0.65
    peror
    -0.65
    zl
    -0.65
    TPPStreamerBot
    -0.64
    POSITIVE LOGITS
     spree
    1.04
     crime
    0.85
     crimes
    0.84
     Crime
    0.83
     unfocusedRange
    0.80
     offenders
    0.80
     synd
    0.80
     offenses
    0.79
     perpetrated
    0.79
    fighting
    0.78
    Activations Density 0.022%

    No Known Activations