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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. 8-RES-JB
    11. 8169
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    INDEX
    Explanations

    evaluative language regarding devices or technologies

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration and satisfaction related to technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     telephone
    -0.74
    illance
    -0.71
    wage
    -0.70
     biologist
    -0.64
    acist
    -0.64
     deport
    -0.63
     emergency
    -0.63
     detention
    -0.63
     inmate
    -0.63
    idential
    -0.62
    POSITIVE LOGITS
     nostalgia
    0.87
     Hitman
    0.85
     indie
    0.80
     Konami
    0.79
    uably
    0.78
     Capcom
    0.77
     genres
    0.76
     genre
    0.76
     Nemesis
    0.76
     deserves
    0.75
    Activations Density 1.104%

    No Known Activations