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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. 2-RES-JB
    6. 22629
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    Explanations

    references to the most recent or latest occurrence or information

    oai_token-act-pair · gpt-3.5-turbo

    references to the notion of "recent" information or updates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hod
    -0.74
     Maze
    -0.66
    phasis
    -0.65
    ohm
    -0.64
    hhhh
    -0.64
    lua
    -0.64
    utters
    -0.64
    ilts
    -0.63
    YN
    -0.62
    agra
    -0.62
    POSITIVE LOGITS
     elector
    0.83
     occupant
    0.83
     episode
    0.74
     incarnation
    0.72
     attempt
    0.70
     spate
    0.69
     pregnancies
    0.69
     installment
    0.69
     episodes
    0.69
    recent
    0.66
    Activations Density 0.010%

    No Known Activations