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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. 18469
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    Explanations

    words related to things that are not within the norms or regulations

    oai_token-act-pair · gpt-3.5-turbo

    words or prefixes related to negation or lack of something

    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
    uyomi
    -0.81
     Rover
    -0.79
     Nanto
    -0.79
    Reviewer
    -0.79
     Records
    -0.79
     Events
    -0.78
     Values
    -0.72
     Dwell
    -0.72
     Steps
    -0.72
     Seasons
    -0.71
    POSITIVE LOGITS
    ceivable
    1.04
    structed
    1.00
    ashed
    0.96
    assuming
    0.96
    prov
    0.91
    verted
    0.91
    ishable
    0.89
    pport
    0.89
    readable
    0.85
    merce
    0.85
    Activations Density 0.014%

    No Known Activations