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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 20816
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    oai_token-act-pair · gpt-3.5-turbo

    proper names or significant titles within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âĢº
    -0.90
     Ying
    -0.73
     Hubble
    -0.71
     waterfall
    -0.68
     adop
    -0.67
     Roku
    -0.67
     ãĢĮ
    -0.66
    chart
    -0.65
    âĢ
    -0.65
    Recomm
    -0.64
    POSITIVE LOGITS
    ulz
    2.61
    ooter
    1.78
     Emma
    1.54
    ooters
    1.44
     masked
    1.34
    ooting
    1.31
    nikov
    1.15
    olver
    1.01
    kinson
    1.01
    lag
    0.98
    Activations Density 0.027%

    No Known Activations