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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. 9-RES-JB
    11. 16435
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    INDEX
    Explanations

    phrases urging action or engagement

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a call to action or advocacy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ļéĨĴ
    -0.75
    iton
    -0.73
    GMT
    -0.69
    UTC
    -0.68
    ANC
    -0.68
    senal
    -0.68
    çīĪ
    -0.67
    paralle
    -0.67
    Favorite
    -0.66
    unique
    -0.66
    POSITIVE LOGITS
     admit
    1.05
     pretend
    1.04
     apologize
    1.01
     declare
    1.00
     obey
    0.99
     contemplate
    0.98
     listen
    0.98
     bask
    0.96
     accept
    0.96
     pray
    0.96
    Activations Density 0.174%

    No Known Activations