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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. 7-RES-JB
    11. 10062
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    Explanations

    sentences related to taking responsibility for one's actions

    oai_token-act-pair · gpt-3.5-turbo

    references to moral and ethical responsibility related to actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    anus
    -0.79
    bid
    -0.79
    owship
    -0.64
    skinned
    -0.64
     comma
    -0.64
     Cav
    -0.62
     Dise
    -0.61
    inately
    -0.61
     Bloom
    -0.60
    lined
    -0.60
    POSITIVE LOGITS
    uate
    0.94
     ACTIONS
    0.93
     actions
    0.92
    uations
    0.90
    ives
    0.90
    hops
    0.88
    uits
    0.84
    terday
    0.83
    uated
    0.81
    uation
    0.81
    Activations Density 0.038%

    No Known Activations