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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. 5279
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    Explanations

    phrases referring to the philosophy of Ayn Rand

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or symbol

    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
     favour
    -0.94
     favor
    -0.92
     territorial
    -0.86
     reflex
    -0.85
     metic
    -0.84
     targeted
    -0.84
     spir
    -0.80
     carrier
    -0.78
     grazing
    -0.77
     surn
    -0.77
    POSITIVE LOGITS
    Because
    1.36
    Otherwise
    1.33
    And
    1.30
    It
    1.28
    But
    1.28
    They
    1.27
    That
    1.27
    Then
    1.26
    Secondly
    1.24
    Therefore
    1.24
    Activations Density 0.115%

    No Known Activations