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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. 5956
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    INDEX
    Explanations

    infinitive verbs indicating purpose or goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating objectives or goals within research contexts

    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
    LESS
    -0.74
    fired
    -0.72
    Friends
    -0.71
     Fired
    -0.71
     Courage
    -0.70
     lawy
    -0.69
    accompanied
    -0.69
     kneeling
    -0.68
     Reserved
    -0.67
    INGTON
    -0.66
    POSITIVE LOGITS
     quantify
    1.47
     investigate
    1.46
     analyse
    1.44
     analyze
    1.40
     examine
    1.38
     characterize
    1.37
     eluc
    1.33
     determine
    1.30
     explore
    1.30
     simulate
    1.29
    Activations Density 0.130%

    No Known Activations