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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. 10330
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    Explanations

    phrases encouraging or advising action

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to urging or advising action

    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
    mination
    -0.73
     enhancements
    -0.71
     expansions
    -0.69
    Mech
    -0.69
     Facilities
    -0.69
    Development
    -0.69
    production
    -0.68
    Enhanced
    -0.68
    Used
    -0.68
    eatures
    -0.68
    POSITIVE LOGITS
     debunk
    1.30
     criticize
    1.24
     recite
    1.24
     refute
    1.22
     rant
    1.21
     chuckle
    1.19
     denounce
    1.18
     ridicule
    1.18
     disbel
    1.18
     weep
    1.17
    Activations Density 0.403%

    No Known Activations