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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. 10-RES-JB
    11. 21481
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    Explanations

    phrases related to discussing various topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference discussing or talking about specific topics or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elected
    -0.66
    ngth
    -0.64
    ãĤ©
    -0.57
    dding
    -0.57
    pend
    -0.57
    del
    -0.57
     Crom
    -0.54
     Nich
    -0.54
    hold
    -0.54
    olson
    -0.53
    POSITIVE LOGITS
     aloud
    1.24
     publicly
    1.24
     openly
    1.24
     extensively
    1.16
     anonymously
    1.07
     verbally
    1.05
     briefly
    1.04
     prominently
    1.02
     succinct
    1.02
     beforehand
    1.01
    Activations Density 0.232%

    No Known Activations