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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. 10-RES-JB
    11. 6144
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    Explanations

    phrases related to actions or intentions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intentions or actions related to restrictions or regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Niet
    -0.84
    ccording
    -0.77
     Hornets
    -0.74
     horizont
    -0.73
     horm
    -0.68
     millenn
    -0.67
    æ©Ł
    -0.67
     Bever
    -0.65
     Ago
    -0.65
     Strauss
    -0.63
    POSITIVE LOGITS
     reduce
    0.98
     achieve
    0.93
     arrange
    0.92
     evaluate
    0.90
     eliminate
    0.89
     apply
    0.89
     satisfy
    0.89
     protect
    0.87
     acquire
    0.87
     perform
    0.87
    Activations Density 0.081%

    No Known Activations