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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. 1-RES-JB
    11. 3420
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    INDEX
    Explanations

    terms related to sports standings

    oai_token-act-pair · gpt-3.5-turbo

    references to rankings or standings in a competitive context

    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
    por
    -0.80
    romy
    -0.78
    ohyd
    -0.75
    ramid
    -0.72
    sites
    -0.69
    gur
    -0.67
    gger
    -0.67
    pton
    -0.66
    pse
    -0.63
    minist
    -0.63
    POSITIVE LOGITS
     standings
    1.42
    wagon
    0.79
     rankings
    0.77
    ieve
    0.71
    emate
    0.71
    acebook
    0.70
     seiz
    0.69
    cape
    0.69
     ledger
    0.68
     Vaugh
    0.68
    Activations Density 0.007%

    No Known Activations