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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 2840
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    Explanations

    names of high-ranking positions or specific roles that hold authority

    oai_token-act-pair · gpt-3.5-turbo

    references to specific roles or titles within organizations or government

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Īè
    -0.68
    ridges
    -0.65
    urtles
    -0.60
     à¤
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     Leafs
    -0.58
    VIDIA
    -0.56
     ;;
    -0.56
    Generic
    -0.56
    sequence
    -0.56
    ¥µ
    -0.55
    POSITIVE LOGITS
    's
    0.82
    hood
    0.76
     liking
    0.71
     playbook
    0.71
    ÃŃs
    0.70
    rative
    0.69
    owned
    0.68
     accountable
    0.68
    \'
    0.67
     owned
    0.64
    Activations Density 0.881%

    No Known Activations