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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. 7115
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    INDEX
    Explanations

    mentions of desires or wants

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intention

    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
    ulty
    -0.68
    soDeliveryDate
    -0.65
     âĨij
    -0.64
    ilings
    -0.64
    livious
    -0.63
    hesis
    -0.61
    anka
    -0.61
    errors
    -0.61
    è¦ļéĨĴ
    -0.60
    ielding
    -0.60
    POSITIVE LOGITS
     revenge
    0.98
     nothing
    0.94
    only
    0.87
     to
    0.86
     something
    0.83
    reprene
    0.80
     desperately
    0.79
     answers
    0.79
     vengeance
    0.76
     somebody
    0.71
    Activations Density 0.108%

    No Known Activations