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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. 4-RES-JB
    11. 18450
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    Explanations

    proper nouns related to various events, locations, and people

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or notable figures

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

    No Comments

    Negative Logits
    theless
    -0.55
     âĵĺ
    -0.54
    OIL
    -0.54
    ++;
    -0.53
    riel
    -0.53
    haps
    -0.52
     STATS
    -0.50
    rily
    -0.50
    verbs
    -0.50
    speak
    -0.49
    POSITIVE LOGITS
     movement
    0.70
     ecosystem
    0.67
     lineup
    0.66
     community
    0.66
     bandwagon
    0.65
     umbrella
    0.65
     playbook
    0.65
     moniker
    0.64
     era
    0.63
     fanbase
    0.61
    Activations Density 1.486%

    No Known Activations