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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. 2-RES-JB
    11. 7318
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    Explanations

    adjective-noun pairs related to ceremonial or regulatory contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to official or formal settings, particularly those that pertain to regulations or specific types of organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owship
    -0.70
    ICH
    -0.70
    OVER
    -0.69
    HTTP
    -0.69
    Rachel
    -0.66
    CVE
    -0.65
    MER
    -0.65
    Fin
    -0.64
    Buy
    -0.64
    ACA
    -0.63
    POSITIVE LOGITS
    atory
    1.26
    atories
    0.91
    chnology
    0.86
    rog
    0.80
    ration
    0.80
    hetic
    0.77
     sidx
    0.77
    heses
    0.73
    rarily
    0.72
    zes
    0.71
    Activations Density 0.014%

    No Known Activations