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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. 10-RES-JB
    11. 16245
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    Explanations

    number sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.79
    oppable
    -0.71
     Izan
    -0.70
     rul
    -0.67
    ensor
    -0.65
    DragonMagazine
    -0.65
    otto
    -0.65
    fif
    -0.62
    ensable
    -0.62
    055
    -0.62
    POSITIVE LOGITS
    8
    1.04
     8
    0.95
     78
    0.89
     808
    0.88
    808
    0.87
    78
    0.82
     VIII
    0.82
    08
    0.81
     08
    0.81
    798
    0.79
    Activations Density 0.084%

    No Known Activations