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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. 11-RES-JB
    11. 2500
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    Explanations

    phrases related to decision-making and consequences

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to decision-making and the consequences of actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ©¶æ¥µ
    -0.90
    audi
    -0.77
    clerosis
    -0.71
    interstitial
    -0.67
    assic
    -0.66
    culosis
    -0.64
    mpeg
    -0.63
     brokers
    -0.63
    ateur
    -0.62
     radios
    -0.60
    POSITIVE LOGITS
     undesirable
    0.90
    something
    0.90
     actions
    0.89
     wrongdoing
    0.88
     outcomes
    0.88
     injust
    0.87
     harm
    0.86
     behaviors
    0.85
     tomorrow
    0.85
     unpleasant
    0.85
    Activations Density 0.643%

    No Known Activations