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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. 9-RES-JB
    6. 2094
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    INDEX
    Explanations

    mentions of dates and locations, potentially related to events, publications, or people

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their frequency in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     desperation
    -0.83
     maybe
    -0.81
     favour
    -0.79
     temptation
    -0.78
     imagination
    -0.78
     reflex
    -0.77
     cra
    -0.77
     bending
    -0.76
     civilisation
    -0.76
     sometimes
    -0.75
    POSITIVE LOGITS
    Tickets
    1.59
    Among
    1.57
    According
    1.56
    Additionally
    1.53
    Prior
    1.49
    Laun
    1.48
    Each
    1.48
    RELATED
    1.48
    The
    1.47
    Along
    1.44
    Activations Density 0.489%

    No Known Activations