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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. 2406
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    Explanations

    phrases indicating action or lack of action towards a specified object or subject

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express a lack of action or approval

    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
    etermined
    -0.68
    utenberg
    -0.63
    odox
    -0.62
    last
    -0.61
     temporarily
    -0.61
    prototype
    -0.60
    ortment
    -0.60
    athering
    -0.59
    udo
    -0.59
     tentative
    -0.58
    POSITIVE LOGITS
     anymore
    1.30
     anything
    1.20
     any
    1.06
     much
    1.05
     nor
    1.01
     anybody
    0.97
     ANY
    0.92
    much
    0.88
     anyone
    0.87
     anywhere
    0.86
    Activations Density 0.223%

    No Known Activations