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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. 9-RES-JB
    11. 15717
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    Explanations

    verbs related to interference or meddling

    oai_token-act-pair · gpt-3.5-turbo

    terms related to interference or meddling in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    borne
    -0.70
    itan
    -0.68
     flies
    -0.67
    corn
    -0.62
    mail
    -0.60
    phies
    -0.58
    marked
    -0.57
     Palo
    -0.57
    vation
    -0.55
     Marin
    -0.54
    POSITIVE LOGITS
     extensively
    1.03
     peacefully
    0.99
     violently
    0.98
     withd
    0.96
     positively
    0.93
     heavily
    0.92
     negatively
    0.91
     territ
    0.90
     forcefully
    0.89
     strongly
    0.89
    Activations Density 0.184%

    No Known Activations