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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. 5-RES-JB
    6. 11800
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    Explanations

    references to historical events or contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to historical context and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -1.12
    nery
    -0.87
    ertodd
    -0.84
    liga
    -0.83
    geon
    -0.81
    nel
    -0.79
    chy
    -0.78
    rays
    -0.78
    wich
    -0.77
    ldon
    -0.77
    POSITIVE LOGITS
     significance
    0.94
    orical
    0.94
     revision
    0.91
    orically
    0.91
     inaccur
    0.84
     context
    0.84
     inacc
    0.84
     preservation
    0.84
     precedent
    0.81
     heritage
    0.80
    Activations Density 0.019%

    No Known Activations