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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 2662
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial performance and investment risks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĸļ
    -0.91
    oute
    -0.73
     Epidem
    -0.70
     Duncan
    -0.69
     Helena
    -0.68
    reve
    -0.68
     Tess
    -0.67
     immersion
    -0.65
    zie
    -0.65
     circumcision
    -0.65
    POSITIVE LOGITS
     securities
    1.24
     auctions
    1.22
     investors
    1.20
     mortgages
    1.18
     hedge
    1.17
     brokerage
    1.14
     bets
    1.14
     creditors
    1.13
     transactions
    1.11
    daq
    1.11
    Activations Density 0.300%

    No Known Activations