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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 22668
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    INDEX
    Explanations

    phrases related to communication, particularly expressing opinions or initiating dialogue

    oai_token-act-pair · gpt-3.5-turbo

    emotive expressions or exclamations

    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
    senal
    -0.90
     citiz
    -0.88
    aditional
    -0.85
    quartered
    -0.84
    awei
    -0.80
     eleph
    -0.79
     favoured
    -0.76
     satell
    -0.73
     pione
    -0.72
     teasp
    -0.72
    POSITIVE LOGITS
    Seriously
    0.94
    —-
    0.86
    lol
    0.85
    Yep
    0.82
    ï¸ı
    0.82
    Honestly
    0.80
    Í
    0.77
     âĿ
    0.76
    âĶĢâĶĢâĶĢâĶĢ
    0.75
    ³³³
    0.75
    Activations Density 0.302%

    No Known Activations