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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. 16208
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    Explanations

    numbers indicating quantity or size

    oai_token-act-pair · gpt-3.5-turbo

    numerical data points and statistics

    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
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    No Comments

    Negative Logits
     fict
    -0.78
     tremend
    -0.76
     marqu
    -0.69
    arte
    -0.66
    querque
    -0.65
    umi
    -0.65
    sole
    -0.64
    agna
    -0.63
    apego
    -0.61
    sonian
    -0.61
    POSITIVE LOGITS
    MHz
    0.90
    bps
    0.86
     MHz
    0.81
    576
    0.80
    GMT
    0.75
    900
    0.75
    00
    0.75
    Mbps
    0.74
    794
    0.73
    degree
    0.72
    Activations Density 0.204%

    No Known Activations