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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. 6-RES-JB
    11. 11192
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    Explanations

    words related to harmful or illegal actions and substances

    oai_token-act-pair · gpt-3.5-turbo

    references to illicit activities or substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rap
    -0.55
    Cash
    -0.54
     Maver
    -0.51
     Pharm
    -0.48
     Cadillac
    -0.47
    ascal
    -0.47
     Wine
    -0.46
     Cash
    -0.46
    Charge
    -0.45
    -0.45
    POSITIVE LOGITS
    terness
    0.50
    dayName
    0.48
    naires
    0.47
    holder
    0.47
    enary
    0.46
     sear
    0.46
    comfort
    0.45
    pole
    0.45
    gypt
    0.45
    ener
    0.44
    Activations Density 1.181%

    No Known Activations