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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. 21700
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    Explanations

    phrases related to making sure something is done correctly and responsibly

    oai_token-act-pair · gpt-3.5-turbo

    guidance on proper planning and preparation

    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
    stros
    -0.80
     mockery
    -0.76
    "}
    -0.69
     Watergate
    -0.67
     disgr
    -0.67
    ylan
    -0.66
    enei
    -0.65
     blackmail
    -0.61
    destruct
    -0.61
     moot
    -0.61
    POSITIVE LOGITS
     yourself
    1.19
     yourselves
    1.11
     wisely
    1.03
     BEFORE
    1.01
     beforehand
    1.01
     preferably
    0.99
     carefully
    0.96
     your
    0.95
     adequate
    0.94
     properly
    0.89
    Activations Density 0.567%

    No Known Activations