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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. 391
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    Explanations

    information about football 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
    Leaks
    -0.81
    atel
    -0.80
    £ı
    -0.77
    ESE
    -0.75
    actionDate
    -0.74
    ħĭ
    -0.74
     "$:/
    -0.74
    rities
    -0.73
    hod
    -0.73
    tm
    -0.71
    POSITIVE LOGITS
     unbeliev
    0.75
     counting
    0.72
     rusher
    0.68
     yards
    0.67
    anship
    0.65
     scorer
    0.65
     touchdowns
    0.64
     averaging
    0.64
     backfield
    0.64
     hurd
    0.63
    Activations Density 0.077%

    No Known Activations