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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. 6-RES-JB
    11. 8482
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    Explanations

    numerical values related to achievements or statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tempt
    -0.63
     cautioned
    -0.63
     urge
    -0.63
    ulner
    -0.62
     blame
    -0.62
    itiz
    -0.61
     lure
    -0.61
     stigma
    -0.61
    apego
    -0.61
     downside
    -0.60
    POSITIVE LOGITS
     increments
    0.94
     nutshell
    0.87
     guise
    0.86
     manner
    0.86
     msec
    0.85
     milliseconds
    0.85
     fashion
    0.84
     batches
    0.77
     seconds
    0.77
     minutes
    0.77
    Activations Density 0.134%

    No Known Activations