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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. 17930
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    Explanations

    phrases related to safety, including safe practices, safety tests, and unsafe substances

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to the safety of chemicals, particularly pesticides

    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
    issance
    -0.83
    ĺħ
    -0.78
    OWS
    -0.77
    ername
    -0.76
     Cantor
    -0.76
     gracious
    -0.74
    Kings
    -0.72
     curl
    -0.69
    Lenin
    -0.68
    ¥µ
    -0.67
    POSITIVE LOGITS
     contamin
    1.25
     carcin
    1.23
     contamination
    1.18
     pesticides
    1.17
     contaminants
    1.17
     chemicals
    1.16
     toxins
    1.16
     toxin
    1.15
     pesticide
    1.13
     additives
    1.08
    Activations Density 0.556%

    No Known Activations