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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. 9-RES-JB
    11. 19402
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    INDEX
    Explanations

    phrases related to reasons or causes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causality or contributing factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apest
    -0.76
    mons
    -0.71
    eers
    -0.70
    ensable
    -0.69
    ablish
    -0.69
    then
    -0.69
    raf
    -0.69
    Express
    -0.65
    successfully
    -0.64
    pton
    -0.63
    POSITIVE LOGITS
     coincidence
    1.22
     intentional
    1.14
     attributable
    1.11
     unintentional
    1.09
     deliberate
    1.02
     accidental
    0.97
     frustration
    0.95
     due
    0.92
     malice
    0.90
     sympt
    0.90
    Activations Density 0.453%

    No Known Activations