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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. 7-RES-JB
    6. 15580
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    Explanations

    sentences related to political and social issues

    oai_token-act-pair · gpt-3.5-turbo

    periods at the end of sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     quir
    -0.87
     eater
    -0.77
     odd
    -0.76
     unlucky
    -0.76
     inactive
    -0.76
     explan
    -0.75
     nodd
    -0.74
     cryptic
    -0.72
    escription
    -0.71
     handy
    -0.71
    POSITIVE LOGITS
     Otherwise
    1.39
     Unfortunately
    1.32
     Therefore
    1.31
     Sadly
    1.23
     Accordingly
    1.20
     Such
    1.19
     Ultimately
    1.19
     Moreover
    1.17
     Especially
    1.15
     Thankfully
    1.14
    Activations Density 0.503%

    No Known Activations