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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. 16680
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    Explanations

    phrases related to personal development and self-improvement

    oai_token-act-pair · gpt-3.5-turbo

    notions related to success and failure in personal and professional development

    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
     resumed
    -0.91
     Recall
    -0.78
     reopened
    -0.75
     evacuation
    -0.75
     fugitive
    -0.74
     alarmed
    -0.71
     evacuated
    -0.69
     recall
    -0.67
     repatri
    -0.66
     recalled
    -0.65
    POSITIVE LOGITS
     shitty
    1.05
     fucking
    0.95
     shit
    0.94
     mediocre
    0.93
    ocre
    0.92
     FUCK
    0.89
     EVERY
    0.89
     goddamn
    0.88
    shit
    0.87
     bullshit
    0.86
    Activations Density 1.137%

    No Known Activations