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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. 4-RES-JB
    11. 24468
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    oai_token-act-pair · gpt-3.5-turbo

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

    Negative Logits
    ptions
    -0.80
    adra
    -0.77
    bags
    -0.75
    ngth
    -0.74
     Lans
    -0.73
    horn
    -0.72
    bag
    -0.69
    achu
    -0.69
    issance
    -0.69
    otion
    -0.68
    POSITIVE LOGITS
     licensed
    0.86
     tradem
    0.83
     firearms
    0.78
    licensed
    0.76
     licensing
    0.74
     satell
    0.73
    Reviewer
    0.73
     volunte
    0.73
     licenses
    0.71
     broadcasting
    0.70
    Activations Density 0.040%

    No Known Activations