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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 9270
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    INDEX
    Explanations

    mentions of items that are sought after or collected by individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to collectors and collecting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mia
    -0.74
    ellen
    -0.70
     Dign
    -0.68
     Illum
    -0.66
    ELL
    -0.64
    inki
    -0.63
    ned
    -0.63
    agan
    -0.62
    English
    -0.60
    fell
    -0.60
    POSITIVE LOGITS
     collector
    1.37
     collectors
    1.35
    collect
    1.13
     Collector
    0.96
     collecting
    0.92
     collects
    0.89
    sonian
    0.88
    ilage
    0.81
    Artist
    0.81
     recy
    0.79
    Activations Density 0.011%

    No Known Activations