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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. 16555
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    INDEX
    Explanations

    instances of statistical information or numerical figures

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "there were" indicating the occurrence of events or data

    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
     welf
    -0.72
     theorem
    -0.68
     greatness
    -0.67
     Spoiler
    -0.64
     illum
    -0.63
    inventoryQuantity
    -0.63
     embod
    -0.63
    thing
    -0.62
     nerds
    -0.61
     orthodoxy
    -0.61
    POSITIVE LOGITS
     indications
    0.89
     no
    0.89
     approximately
    0.87
     conflicting
    0.83
    zens
    0.82
     295
    0.82
    umerous
    0.80
     fewer
    0.80
     303
    0.80
     294
    0.79
    Activations Density 0.103%

    No Known Activations