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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. 1-RES-JB
    11. 6992
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    Explanations

    references to legal or political matters

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to severe health issues or emergencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Enlarge
    -0.40
    utor
    -0.36
    enei
    -0.32
     referen
    -0.32
    \\\\
    -0.32
     workspace
    -0.31
    pora
    -0.31
     vulner
    -0.31
     artisan
    -0.31
     nomine
    -0.31
    POSITIVE LOGITS
    lycer
    0.34
    interest
    0.33
    Dialogue
    0.33
    schild
    0.33
    evidence
    0.33
     Ging
    0.33
    orks
    0.32
    æĸ¹
    0.32
     DRAG
    0.31
    rians
    0.31
    Activations Density 5.165%

    No Known Activations