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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. 10-RES-JB
    11. 11557
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    Explanations

    phrases related to requirements, permissions, or limitations

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing conditions or necessities for events to occur

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onom
    -0.73
    ãĥĺ
    -0.70
    geist
    -0.70
    raq
    -0.69
    erent
    -0.69
    week
    -0.68
    ãģ®æ
    -0.67
    rolled
    -0.66
    ãģ®éŃĶ
    -0.66
    iers
    -0.65
    POSITIVE LOGITS
     risking
    1.17
     sacrificing
    0.98
     encountering
    0.97
     mentioning
    0.93
     knowing
    0.93
     consulting
    0.91
     recourse
    0.91
     acknowledging
    0.88
     compromising
    0.88
     addressing
    0.85
    Activations Density 0.063%

    No Known Activations