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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. 17236
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    Explanations

    phrases related to ordering or doing something forcefully and assertively

    oai_token-act-pair · gpt-3.5-turbo

    instances of enthusiasm or excitement in conversations

    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
     licensing
    -0.88
     classified
    -0.87
     undocumented
    -0.85
     qualified
    -0.85
     supplemental
    -0.84
     licens
    -0.84
     migr
    -0.84
     subsequent
    -0.83
     raft
    -0.83
     previously
    -0.83
    POSITIVE LOGITS
    Nothing
    1.56
    Only
    1.52
    Anything
    1.51
    Something
    1.50
    Give
    1.50
    Never
    1.49
    Enough
    1.48
    Someone
    1.47
    Maybe
    1.47
    Did
    1.47
    Activations Density 0.319%

    No Known Activations