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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. 9879
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    INDEX
    Explanations

    mentions of institutional settings or practices

    oai_token-act-pair · gpt-3.5-turbo

    references to institutional concepts or systems

    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
    vous
    -0.91
    bane
    -0.77
    nen
    -0.77
    ky
    -0.76
    hner
    -0.75
    ragon
    -0.75
    spell
    -0.75
    kers
    -0.75
    vich
    -0.74
    word
    -0.73
    POSITIVE LOGITS
    ized
    1.29
    ization
    1.21
    ised
    1.10
    itutional
    1.08
    izes
    1.01
    izational
    0.98
    isation
    0.98
    izing
    0.97
    izations
    0.96
     institutions
    0.96
    Activations Density 0.015%

    No Known Activations