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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. 2-RES-JB
    11. 20948
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    Explanations

    words related to financial gains or earnings

    oai_token-act-pair · gpt-3.5-turbo

    references to profits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nu
    -0.78
    confirmed
    -0.74
    Adams
    -0.68
    ruck
    -0.67
     traumatic
    -0.67
    Nap
    -0.65
     Buk
    -0.62
    \/\/
    -0.62
    IFE
    -0.62
    CLOSE
    -0.61
    POSITIVE LOGITS
     profits
    1.14
     margins
    0.94
    ulent
    0.89
     reap
    0.86
     margin
    0.85
     profit
    0.82
     stash
    0.82
     earnings
    0.81
     proceeds
    0.79
    umers
    0.75
    Activations Density 0.012%

    No Known Activations