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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. 20534
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    Explanations

    proper nouns related to various fields or industries

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to designations and categorization in various fields

    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
    etheless
    -0.85
    itably
    -0.73
     environmentalists
    -0.70
     uncertainties
    -0.70
     trivial
    -0.69
     skeptical
    -0.68
     dogged
    -0.68
     unfavorable
    -0.68
     repeated
    -0.66
    terday
    -0.66
    POSITIVE LOGITS
     Room
    1.22
     Zone
    1.16
     Engine
    1.12
     Meter
    1.10
     Graveyard
    1.10
     Manager
    1.10
     Module
    1.10
     Lounge
    1.09
     Desk
    1.08
     Reduction
    1.07
    Activations Density 0.383%

    No Known Activations