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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. 10375
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    INDEX
    Explanations

    phrases that refer to prior instances or comparisons to earlier states or data

    oai_token-act-pair · gpt-3.5-turbo

    references to prior events or periods in time

    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
    lee
    -0.84
     ILCS
    -0.76
    hots
    -0.74
    kamp
    -0.73
    rage
    -0.73
    aliation
    -0.73
    lua
    -0.71
    ocracy
    -0.69
    rosso
    -0.68
    umes
    -0.67
    POSITIVE LOGITS
     generations
    1.08
     incarnation
    1.04
     occupant
    0.99
     incarn
    0.91
    ebin
    0.90
     batch
    0.89
     generation
    0.88
     iteration
    0.84
     editions
    0.80
    vernment
    0.79
    Activations Density 0.023%

    No Known Activations