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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. 24425
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    Explanations

    phrases related to general concerns or worries

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "concern" and its variations

    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
    nice
    -0.69
    ortunately
    -0.66
    INAL
    -0.65
    lite
    -0.63
     Adinida
    -0.62
    iller
    -0.62
    ingers
    -0.61
    ann
    -0.60
     Bom
    -0.58
    bowl
    -0.58
    POSITIVE LOGITS
    warts
    1.15
    wart
    1.14
     voiced
    0.96
     raised
    0.94
    ingly
    0.93
     regarding
    0.91
     concerns
    0.88
     about
    0.85
    lessly
    0.83
     expressed
    0.81
    Activations Density 0.059%

    No Known Activations