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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. 11632
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    Explanations

    terms related to methods or ways of doing things

    oai_token-act-pair · gpt-3.5-turbo

    references to various methods or methodologies

    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
     impression
    -0.66
     gloom
    -0.65
     juven
    -0.60
     earnest
    -0.60
    ternity
    -0.60
     Sons
    -0.59
     challeng
    -0.59
    igi
    -0.59
     Childhood
    -0.57
     Barkley
    -0.57
    POSITIVE LOGITS
    ologies
    1.79
    ologically
    1.31
    ology
    1.21
    ologic
    1.21
    ical
    1.18
    ically
    1.10
    OLOGY
    1.07
    ologists
    0.99
    ological
    0.99
    ologist
    0.98
    Activations Density 0.032%

    No Known Activations