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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. 7-RES-JB
    11. 14458
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    Explanations

    adjectives describing the quality or characteristics of something

    oai_token-act-pair · gpt-3.5-turbo

    statements of existence or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     oneself
    -0.88
    backer
    -0.80
     ourselves
    -0.71
    heny
    -0.70
     yourselves
    -0.70
    vier
    -0.69
     Franch
    -0.67
    gap
    -0.66
     motions
    -0.64
    verse
    -0.63
    POSITIVE LOGITS
     priceless
    0.78
     dece
    0.75
     always
    0.69
     blown
    0.69
     reflected
    0.69
     hers
    0.68
     dwindling
    0.68
     undeniable
    0.67
     legion
    0.66
     greatly
    0.66
    Activations Density 0.437%

    No Known Activations