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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. 0-RES-JB
    11. 11724
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    Explanations

    phrases related to financial institutions, specifically banks

    oai_token-act-pair · gpt-3.5-turbo

    references to banks in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĪ
    -0.76
    ovie
    -0.69
    esthetic
    -0.69
    atoon
    -0.65
    yr
    -0.64
    ton
    -0.63
    nette
    -0.63
    eval
    -0.63
    oki
    -0.62
    omaly
    -0.62
    POSITIVE LOGITS
     banks
    3.87
    banks
    2.58
     bank
    2.45
     bankers
    2.42
     Banks
    2.26
    bank
    2.15
     banking
    2.11
     lenders
    2.10
    Bank
    2.02
     Bank
    1.88
    Activations Density 0.014%

    No Known Activations