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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. 10-RES-JB
    11. 10369
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    INDEX
    Explanations

    phrases referencing situations when something is necessary or good

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating emotional states or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bourg
    -0.67
     Examination
    -0.64
    DragonMagazine
    -0.63
     Classification
    -0.63
    lear
    -0.62
    omsky
    -0.61
     Kad
    -0.61
     Registry
    -0.60
    izabeth
    -0.60
    ustom
    -0.59
    POSITIVE LOGITS
     inconvenient
    0.86
     warranted
    0.81
     peril
    0.77
     outweigh
    0.75
     scarce
    0.74
     convenient
    0.73
     adversity
    0.72
    icult
    0.72
     strapped
    0.71
     mattered
    0.71
    Activations Density 0.279%

    No Known Activations