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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. 10-RES-JB
    11. 5750
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    INDEX
    Explanations

    verbs related to following through on plans or commitments

    oai_token-act-pair · gpt-3.5-turbo

    references to "missing out" or opportunities not taken

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ONSORED
    -0.81
    uum
    -0.75
    soever
    -0.73
    ults
    -0.71
    lege
    -0.69
    leground
    -0.67
    anan
    -0.66
    loo
    -0.65
     msec
    -0.63
    fter
    -0.63
    POSITIVE LOGITS
    erous
    1.31
     behalf
    1.31
    etime
    0.82
    coming
    0.76
    shore
    0.75
    eness
    0.75
     arrival
    0.74
     Sundays
    0.72
     Saturdays
    0.71
     completing
    0.70
    Activations Density 0.149%

    No Known Activations