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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. 14946
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    Explanations

    words related to sharp sounds or actions

    oai_token-act-pair · gpt-3.5-turbo

    words associated with clapping and applause

    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
    IRE
    -0.71
    lict
    -0.69
     Commons
    -0.69
    icum
    -0.67
    ormal
    -0.66
    ctic
    -0.65
    perate
    -0.65
    ignty
    -0.64
    otype
    -0.63
    VI
    -0.61
    POSITIVE LOGITS
    sticks
    1.07
    down
    0.98
    downs
    0.96
    dash
    0.94
    eworthy
    0.93
    ingly
    0.91
    stick
    0.89
    oon
    0.85
    shots
    0.83
    ularity
    0.81
    Activations Density 0.172%

    No Known Activations