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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. 3-RES-JB
    11. 7048
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    INDEX
    Explanations

    phrases related to sports events or competitions

    oai_token-act-pair · gpt-3.5-turbo

    the term "final" in the context of competitions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    relative
    -0.80
    afort
    -0.74
    spr
    -0.72
    etc
    -0.69
    hist
    -0.67
    XT
    -0.64
    urat
    -0.63
    stadt
    -0.63
    gemony
    -0.62
    heid
    -0.62
    POSITIVE LOGITS
     curtain
    0.87
     straw
    0.85
     showdown
    0.85
     whistle
    0.81
     season
    0.81
    iminary
    0.79
     ditch
    0.75
     installment
    0.75
    culosis
    0.74
    phies
    0.74
    Activations Density 0.017%

    No Known Activations