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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. 11-RES-JB
    11. 13739
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    Explanations

    teams of researchers or scientists from different institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to academic or research teams and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     voic
    -0.75
    bnb
    -0.75
    Daddy
    -0.72
     Relief
    -0.71
    Story
    -0.70
    inventoryQuantity
    -0.70
     precedence
    -0.67
    SPA
    -0.67
    always
    -0.66
    TRUMP
    -0.65
    POSITIVE LOGITS
     discovered
    1.07
     analysed
    1.07
     analyzed
    1.06
     devised
    1.06
     pioneered
    1.05
     studied
    1.04
     demonstrated
    1.04
     synthes
    1.03
     solved
    1.03
     researchers
    1.02
    Activations Density 0.202%

    No Known Activations