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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. 6564
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    Explanations

    phrases related to investing money

    oai_token-act-pair · gpt-3.5-turbo

    references to investment activities

    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
    mask
    -0.74
     inconsist
    -0.71
    Pict
    -0.69
    DH
    -0.65
    Fax
    -0.65
    flies
    -0.64
    CHR
    -0.62
     blurred
    -0.62
    Mp
    -0.62
     resemb
    -0.61
    POSITIVE LOGITS
     Dollars
    0.93
     dollars
    0.91
    efficiency
    0.90
     investment
    0.84
    shore
    0.82
     investments
    0.82
     venture
    0.80
     investing
    0.78
    amily
    0.77
     securities
    0.77
    Activations Density 0.166%

    No Known Activations