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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. 81
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    INDEX
    Explanations

    verbs in the infinitive form that imply actions or intentions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating obligations or requirements

    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
    Not in Any Lists

    No Comments

    Negative Logits
    breaks
    -0.74
    ergy
    -0.74
    ãĤ¦ãĤ¹
    -0.73
    urance
    -0.72
    sle
    -0.71
    mone
    -0.68
    right
    -0.67
    isky
    -0.66
    hearted
    -0.66
    reck
    -0.65
    POSITIVE LOGITS
     engage
    1.00
     us
    0.98
     manipulate
    0.98
     him
    0.97
     exclude
    0.96
     offend
    0.96
     activate
    0.95
     operate
    0.95
     them
    0.95
     administer
    0.95
    Activations Density 0.264%

    No Known Activations