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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. 8-RES-JB
    11. 20464
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    INDEX
    Explanations

    proper nouns related to sports or entertainment, such as names of athletes or actors

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities, particularly in the context of news or public affairs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥī
    -0.69
    ERG
    -0.66
    ELS
    -0.65
    Market
    -0.62
    resh
    -0.62
    Morning
    -0.61
    iPhone
    -0.60
    ajor
    -0.60
    TPS
    -0.60
    rew
    -0.59
    POSITIVE LOGITS
    getic
    0.85
    ogly
    0.84
    hoe
    0.79
    cing
    0.79
    cest
    0.77
    ced
    0.77
    xes
    0.75
    stadt
    0.73
    cer
    0.73
    dain
    0.73
    Activations Density 0.058%

    No Known Activations