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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. 16747
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    Explanations

    words related to specific names and locations related to educational institutions and individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly those associated with the Hayden Planetarium

    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
    alions
    -0.72
    ramid
    -0.71
    icably
    -0.70
    iment
    -0.70
    vertis
    -0.70
    NetMessage
    -0.69
    berman
    -0.68
    iments
    -0.68
     Antar
    -0.67
    ammy
    -0.67
    POSITIVE LOGITS
     Christensen
    0.85
     Hayden
    0.77
    burgh
    0.70
     Watts
    0.69
    806
    0.69
    renheit
    0.68
    bryce
    0.65
    coe
    0.65
     Factor
    0.64
     Stevens
    0.64
    Activations Density 0.010%

    No Known Activations