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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. 24301
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    Explanations

    words related to change or development over time

    oai_token-act-pair · gpt-3.5-turbo

    terms related to evolution and change over 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
    pled
    -0.71
    zzi
    -0.67
    olicited
    -0.66
    avering
    -0.66
    ellow
    -0.65
    Assembly
    -0.65
    holder
    -0.64
    sol
    -0.64
    AMA
    -0.63
    abel
    -0.63
    POSITIVE LOGITS
     evolve
    0.84
    arily
    0.81
    anwhile
    0.80
    brates
    0.80
    etically
    0.77
    iator
    0.76
     extinct
    0.70
    ives
    0.70
    brate
    0.68
    ively
    0.68
    Activations Density 0.018%

    No Known Activations