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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. 11-RES-JB
    11. 12005
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    Explanations

    mentions of actions taken by individuals in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "take" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.82
    folk
    -0.75
    Haunted
    -0.73
    eous
    -0.72
    lite
    -0.64
    lp
    -0.64
    heid
    -0.63
    ept
    -0.62
    lor
    -0.62
    RT
    -0.62
    POSITIVE LOGITS
     pains
    1.22
     exception
    1.14
     issue
    1.14
     advantage
    1.08
     aim
    1.07
     aback
    1.06
     offense
    1.04
     um
    1.02
     offence
    0.98
     matters
    0.92
    Activations Density 0.067%

    No Known Activations