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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. 6236
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    INDEX
    Explanations

    mentions of financial profits or earnings

    oai_token-act-pair · gpt-3.5-turbo

    references to financial gains and profits

    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
    ruck
    -0.68
    CLOSE
    -0.65
    ALLY
    -0.64
    Adams
    -0.62
     Inquis
    -0.62
    confirmed
    -0.60
    then
    -0.59
    nee
    -0.58
    lich
    -0.58
     traumatic
    -0.58
    POSITIVE LOGITS
     profits
    1.07
     earnings
    0.87
     margin
    0.80
    hirt
    0.79
    ulent
    0.79
     margins
    0.78
     reap
    0.77
     proceeds
    0.77
     royalties
    0.76
    ervative
    0.76
    Activations Density 0.026%

    No Known Activations