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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. 21661
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    INDEX
    Explanations

    mentions of revenue or revenue streams

    oai_token-act-pair · gpt-3.5-turbo

    references to revenue generation and financial topics

    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
    uran
    -0.75
    creen
    -0.73
    sonian
    -0.72
     Lob
    -0.71
    opol
    -0.65
    WARE
    -0.65
     Massacre
    -0.65
     Clover
    -0.64
     Hazard
    -0.64
    ãĤ¨ãĥ«
    -0.64
    POSITIVE LOGITS
     streams
    1.11
     revenues
    0.95
     revenue
    0.91
     expenditure
    0.87
    atically
    0.86
     stream
    0.85
     generated
    0.83
     receipts
    0.83
     derived
    0.82
     shortfall
    0.81
    Activations Density 0.030%

    No Known Activations