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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 9905
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    INDEX
    Explanations

    phrases indicating importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a relationship or association

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fts
    -0.70
    onics
    -0.66
     sshd
    -0.65
    ynes
    -0.61
     Ethiop
    -0.60
    oons
    -0.60
    achus
    -0.59
    tails
    -0.57
    asers
    -0.57
    Fill
    -0.57
    POSITIVE LOGITS
    ookie
    0.69
    oubted
    0.67
    sembly
    0.66
    luster
    0.65
    etheless
    0.65
     shame
    0.65
     importance
    0.64
     goodwill
    0.64
     appreciated
    0.63
    value
    0.62
    Activations Density 0.047%

    No Known Activations