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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. 12201
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    Explanations

    phrases related to providing quality healthcare or services

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to customer service and satisfaction

    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
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    No Comments

    Negative Logits
    toggle
    -0.93
    ËĪ
    -0.86
    arie
    -0.74
    achus
    -0.74
    NetMessage
    -0.72
    iatus
    -0.71
    ahime
    -0.69
    Laughs
    -0.68
    anamo
    -0.66
    ä¸ī
    -0.65
    POSITIVE LOGITS
     excellence
    1.36
     optimal
    1.31
     optimum
    1.30
     quality
    1.26
     flawless
    1.22
     superior
    1.19
     outstanding
    1.16
     accurate
    1.13
    quality
    1.12
     highest
    1.12
    Activations Density 0.388%

    No Known Activations