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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. 3-RES-JB
    11. 2758
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    Explanations

    phrases relating to how something is perceived or judged by others

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express perception or evaluation of entities or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    backer
    -0.84
    vent
    -0.69
     purse
    -0.69
    vic
    -0.63
    broken
    -0.61
    hall
    -0.61
     scattering
    -0.60
     anthem
    -0.59
     distraction
    -0.58
    plan
    -0.58
    POSITIVE LOGITS
    Īè
    0.93
    ById
    0.88
    CLASSIFIED
    0.87
    ª
    0.77
    Į
    0.77
     favorably
    0.77
     externalToEVAOnly
    0.75
    ERSON
    0.74
    ISON
    0.74
    ãĤ¼
    0.72
    Activations Density 0.033%

    No Known Activations