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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 5516
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    Explanations

    words related to criminal activities or legal terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "crime."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zl
    -0.72
    uran
    -0.72
    estine
    -0.70
    ersed
    -0.69
    artney
    -0.69
    TPPStreamerBot
    -0.65
    pass
    -0.64
    }}}
    -0.64
    achev
    -0.63
     Pixie
    -0.62
    POSITIVE LOGITS
     spree
    1.02
     crime
    1.00
     Crime
    0.91
     crimes
    0.86
     homicide
    0.85
     synd
    0.84
    fighting
    0.84
     homicides
    0.81
     Victim
    0.81
     unfocusedRange
    0.80
    Activations Density 0.017%

    No Known Activations