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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. 19675
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to compliance and adherence to rules or regulations

    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
    heed
    -0.80
    urat
    -0.79
    ulnerable
    -0.77
    uristic
    -0.74
    ures
    -0.73
    natureconservancy
    -0.72
    visors
    -0.71
    face
    -0.71
    rag
    -0.71
    posing
    -0.70
    POSITIVE LOGITS
    SourceFile
    0.86
     abide
    0.78
     WARN
    0.72
    ç«
    0.70
    taboola
    0.64
     retweet
    0.64
    \\\\
    0.62
    icz
    0.62
     abst
    0.62
     abiding
    0.60
    Activations Density 0.021%

    No Known Activations