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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. 8-RES-JB
    11. 5008
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    Explanations

    phrases indicating intention or action

    oai_token-act-pair · gpt-3.5-turbo

    first-person plural pronouns and expressions of collective intention or action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     cess
    -0.77
    emetery
    -0.74
    artisan
    -0.70
    rontal
    -0.65
    itary
    -0.61
     classics
    -0.60
    oÄŁ
    -0.58
    Americ
    -0.58
    cul
    -0.58
    geon
    -0.57
    POSITIVE LOGITS
     Learned
    0.85
     boils
    0.83
     nutshell
    0.71
     learnt
    0.71
    azes
    0.70
     happened
    0.70
     happ
    0.69
     happens
    0.69
     lacks
    0.67
    pires
    0.66
    Activations Density 0.116%

    No Known Activations