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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. 9-RES-JB
    11. 15728
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    Explanations

    people or entities who achieved a notable 'first' in their respective fields or contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of groundbreaking achievements or firsts in various fields

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lag
    -0.79
    deals
    -0.78
    urgy
    -0.76
    ulations
    -0.74
    trap
    -0.71
    utics
    -0.69
    maps
    -0.68
     traps
    -0.68
     dissatisf
    -0.66
    doms
    -0.66
    POSITIVE LOGITS
     person
    1.22
     recipient
    1.07
     casualty
    1.01
     beneficiary
    0.98
     foreigner
    0.94
     occupant
    0.94
     member
    0.90
     athlete
    0.89
     female
    0.89
     contestant
    0.89
    Activations Density 0.141%

    No Known Activations