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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. 3-RES-JB
    11. 8314
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    Explanations

    words related to financial transactions or institutions, particularly those with the letters "Ex" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Ex-Im Bank" or "Export-Import Bank."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.69
     Sawyer
    -0.66
     haze
    -0.64
     GOODMAN
    -0.64
     Learns
    -0.63
    LIN
    -0.63
    jriwal
    -0.63
    HCR
    -0.63
     Carib
    -0.63
     Rohing
    -0.62
    POSITIVE LOGITS
    haust
    1.30
    terior
    1.15
    cerpt
    1.13
    changes
    1.11
    ternally
    1.09
    isting
    1.07
    pert
    1.06
    orbit
    1.03
    erc
    1.02
    cessive
    1.02
    Activations Density 0.014%

    No Known Activations