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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. 7-RES-JB
    11. 4032
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    Explanations

    phrases related to negative behaviors, thoughts, and comments

    oai_token-act-pair · gpt-3.5-turbo

    references to negative behaviors and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     oranges
    -0.66
    ulhu
    -0.62
    ritz
    -0.62
    historic
    -0.62
    ModLoader
    -0.61
    igham
    -0.60
     curv
    -0.60
    amous
    -0.60
     habitable
    -0.60
     referen
    -0.59
    POSITIVE LOGITS
     outweigh
    0.83
    ounters
    0.75
     outwe
    0.67
     against
    0.67
     (>
    0.65
     (+
    0.64
     Prompt
    0.63
     arising
    0.63
     toward
    0.63
    cloth
    0.62
    Activations Density 0.457%

    No Known Activations