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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. 14586
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    INDEX
    Explanations

    instances where someone is mentioning or referring to a specific action or situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions or decisions made by subjects

    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
    edia
    -0.82
    IDES
    -0.70
    ĪĴ
    -0.70
    Parameters
    -0.69
    »Ĵ
    -0.68
    usha
    -0.68
    rils
    -0.67
    ½
    -0.67
    inventoryQuantity
    -0.67
    ī
    -0.66
    POSITIVE LOGITS
     job
    1.12
     thing
    1.06
     task
    0.97
     deed
    0.95
     feat
    0.93
     homework
    0.91
     trick
    0.89
     stuff
    0.88
     kind
    0.84
     unthinkable
    0.82
    Activations Density 0.056%

    No Known Activations