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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. 6-RES-JB
    6. 8615
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    INDEX
    Explanations

    phrases related to memory or recollection

    oai_token-act-pair · gpt-3.5-turbo

    references to personal memories or anecdotes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    redo
    -0.69
     remains
    -0.69
    irs
    -0.64
    prises
    -0.64
    iencies
    -0.63
    ils
    -0.63
    ander
    -0.63
     damages
    -0.62
     2024
    -0.62
    xit
    -0.62
    POSITIVE LOGITS
    infeld
    0.70
     interviewing
    0.69
    aturdays
    0.68
    inav
    0.65
    Interview
    0.63
    Laughs
    0.61
     Literary
    0.60
     brainstorm
    0.60
     sponsored
    0.60
    asketball
    0.60
    Activations Density 1.028%

    No Known Activations