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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    words related to criminal activities or legal procedures

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Criminal."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bet
    -0.74
    apter
    -0.73
     rays
    -0.71
    izabeth
    -0.69
     nib
    -0.69
     src
    -0.68
     ath
    -0.68
     measurements
    -0.67
     nap
    -0.67
     absorb
    -0.64
    POSITIVE LOGITS
     Criminal
    3.72
    riminal
    2.27
    criminal
    2.10
     Crimes
    1.93
     criminal
    1.82
     Crim
    1.75
     Crime
    1.62
     Penal
    1.61
     Forensic
    1.54
     Correctional
    1.48
    Activations Density 0.020%

    No Known Activations