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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. 6-RES-JB
    11. 4125
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    Explanations

    phrases related to formal statements or announcements

    oai_token-act-pair · gpt-3.5-turbo

    the article "a" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heed
    -0.87
    /-
    -0.82
    plates
    -0.80
    cair
    -0.77
    athe
    -0.73
    import
    -0.71
    onto
    -0.70
    ontent
    -0.69
     idols
    -0.67
    holders
    -0.67
    POSITIVE LOGITS
     statement
    1.01
     nutshell
    0.99
     briefing
    0.91
     bid
    0.88
     keynote
    0.88
     brief
    0.86
     conference
    0.86
     flurry
    0.84
     lengthy
    0.82
     landslide
    0.80
    Activations Density 0.096%

    No Known Activations