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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. 3-RES-JB
    11. 22762
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    Explanations

    phrases related to crimes and illegal activities, especially related to trafficking and counterfeiting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to crime and illegal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ggles
    -0.74
    âĺĨ
    -0.71
    ankind
    -0.69
    isSpecialOrderable
    -0.67
     âĨ
    -0.67
    izons
    -0.66
    ahime
    -0.64
    ¯¯
    -0.64
    âĻ
    -0.62
    riel
    -0.62
    POSITIVE LOGITS
     illegally
    0.98
     offences
    0.96
     unlawfully
    0.93
     ransom
    0.92
     confiscated
    0.85
     explosives
    0.85
    chwitz
    0.84
     stolen
    0.84
     allegedly
    0.84
     contaminated
    0.83
    Activations Density 0.875%

    No Known Activations