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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. 23429
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    INDEX
    Explanations

    phrases related to taking action and making decisions

    oai_token-act-pair · gpt-3.5-turbo

    imperative verbs indicating necessity or obligation

    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
     Levant
    -0.70
    ELD
    -0.66
    DERR
    -0.64
    Pain
    -0.62
     Slug
    -0.61
    MpServer
    -0.58
    Usage
    -0.57
     penned
    -0.57
     triggered
    -0.57
     irritating
    -0.56
    POSITIVE LOGITS
     ourselves
    1.20
     celebrate
    0.87
     presume
    0.83
     educate
    0.81
     collectively
    0.81
    egu
    0.81
     conclude
    0.80
     revisit
    0.79
    igmat
    0.78
     simplify
    0.78
    Activations Density 0.223%

    No Known Activations