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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. 7-RES-JB
    11. 9927
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    Explanations

    names of famous individuals, places, events, or legal terms

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to locations, events, and notable names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     undermin
    -0.56
    ãĥ´ãĤ¡
    -0.55
     exha
    -0.55
    ocratic
    -0.55
     notor
    -0.55
    cept
    -0.55
     mathemat
    -0.55
     depreciation
    -0.55
    Lear
    -0.54
     pacif
    -0.54
    POSITIVE LOGITS
    ↵Âł
    0.93
     =================================
    0.88
    ↵
    0.84
     (%)
    0.83
    ↵↵
    0.83
     Posted
    0.82
    <|endoftext|>
    0.82
    ?:
    0.80
     --------------------------------
    0.80
     Copyright
    0.78
    Activations Density 0.777%

    No Known Activations