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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. 8281
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    Explanations

    references to legal issues or physical objects related to businesses, such as supermarkets, lawsuits, and flashlights

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns that relate to retail environments and everyday objects

    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
    gage
    -1.03
    oway
    -0.98
    abet
    -0.96
    tics
    -0.88
    tails
    -0.86
    une
    -0.85
    rations
    -0.85
    andro
    -0.85
    mus
    -0.85
    ration
    -0.84
    POSITIVE LOGITS
     attachment
    0.73
     shooter
    0.68
     slump
    0.67
     bott
    0.67
     application
    0.67
     hots
    0.66
     powerhouse
    0.65
     compartment
    0.64
     enclosure
    0.64
     clause
    0.63
    Activations Density 0.275%

    No Known Activations