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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. 1-RES-JB
    11. 13867
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    Explanations

    words related to crimes, specifically focusing on the term "rapists" with varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to sexual violence, specifically focusing on the term "rapist."

    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
    Medic
    -0.70
    zik
    -0.70
     shorth
    -0.69
     tremend
    -0.69
     Dak
    -0.69
    é¾
    -0.68
    zl
    -0.67
    bound
    -0.66
    bles
    -0.66
    ++++++++++++++++
    -0.65
    POSITIVE LOGITS
     rapists
    1.30
     rapist
    1.11
    anski
    0.91
    ervatives
    0.80
    Episode
    0.80
     abusers
    0.78
     rape
    0.75
     offenders
    0.75
     murderers
    0.73
     abuser
    0.73
    Activations Density 0.011%

    No Known Activations