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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. 4-RES-JB
    11. 2212
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    Explanations

    specific numerical values related to technology or finance

    oai_token-act-pair · gpt-3.5-turbo

    specific numeric values and financial figures

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

    No Comments

    Negative Logits
    arial
    -0.86
    abal
    -0.83
    agan
    -0.78
    alez
    -0.74
    kell
    -0.73
    uana
    -0.72
    stal
    -0.70
    istically
    -0.70
    woods
    -0.69
    bread
    -0.68
    POSITIVE LOGITS
     MHz
    0.93
     NX
    0.80
    MHz
    0.79
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.73
     Mile
    0.71
     Leban
    0.70
    Hz
    0.68
     metres
    0.67
    0002
    0.67
     meters
    0.66
    Activations Density 0.047%

    No Known Activations