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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. 4-RES-JB
    11. 24355
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    Explanations

    words related to requests or desires

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express a desire to please or fulfill others' expectations

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

    No Comments

    Negative Logits
    arc
    -0.76
    ription
    -0.76
    ARC
    -0.76
    MpServer
    -0.75
    existence
    -0.74
    phrine
    -0.72
    mund
    -0.67
    ells
    -0.67
    advertisement
    -0.65
    ula
    -0.65
    POSITIVE LOGITS
     sir
    0.83
     fill
    0.81
     excuse
    0.81
     Ignore
    0.81
     ignore
    0.78
     feel
    0.77
     advise
    0.76
    ĸļ
    0.73
     Subscribe
    0.73
     refrain
    0.72
    Activations Density 0.012%

    No Known Activations