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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. 16512
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    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
     wise
    -0.88
    pmwiki
    -0.82
    LOS
    -0.77
     immortal
    -0.62
     manif
    -0.62
     medic
    -0.61
    cipline
    -0.61
     silenced
    -0.61
     retard
    -0.60
     blocker
    -0.60
    POSITIVE LOGITS
    stown
    1.01
    SON
    0.84
    onian
    0.80
    bourg
    0.80
    burg
    0.78
    PAC
    0.78
     Horton
    0.78
    haven
    0.78
    awa
    0.78
    ville
    0.77
    Activations Density 0.309%

    No Known Activations