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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. 3211
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    Explanations

    legalese and formal terms related to regulations or declarations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce considerations or conditions in a formal context

    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
    Redditor
    -0.81
    books
    -0.75
    izzle
    -0.67
    $$
    -0.65
    Enlarge
    -0.62
     taps
    -0.62
     invented
    -0.60
     alters
    -0.60
     spoil
    -0.59
    akers
    -0.59
    POSITIVE LOGITS
     addition
    1.06
    sofar
    1.06
    adequ
    1.04
     accordance
    1.04
    forming
    1.01
    clusion
    1.01
     conclusion
    1.00
    cluding
    0.99
    clus
    0.93
     lieu
    0.91
    Activations Density 0.177%

    No Known Activations