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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. 8-RES-JB
    11. 17213
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    Explanations

    requests or instructions written with a polite tone

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "please" in various formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lings
    -0.76
    pires
    -0.74
    é¾
    -0.74
    arthed
    -0.71
    arc
    -0.70
    cler
    -0.69
    IUM
    -0.65
    MpServer
    -0.65
    visor
    -0.64
    ARC
    -0.62
    POSITIVE LOGITS
     Ignore
    1.07
     beware
    1.04
     forgive
    1.03
     note
    0.98
     ignore
    0.95
     advise
    0.93
     excuse
    0.92
     refrain
    0.92
     enable
    0.89
     consider
    0.88
    Activations Density 0.033%

    No Known Activations