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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. 8005
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    INDEX
    Explanations

    phrases related to personal experiences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "experienced" and its variations in various contexts

    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
    corn
    -0.82
    law
    -0.80
    trap
    -0.75
    laws
    -0.74
    hatt
    -0.72
    loaded
    -0.70
    loader
    -0.69
    ayer
    -0.64
    hai
    -0.63
    raft
    -0.63
    POSITIVE LOGITS
     firsthand
    1.02
    HAEL
    0.88
    ienced
    0.84
    iences
    0.77
    LV
    0.74
    OOL
    0.73
    ience
    0.71
    KING
    0.71
     setbacks
    0.71
     difficulties
    0.70
    Activations Density 0.030%

    No Known Activations