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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. 9490
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    Explanations

    locations or places where events are taking place

    oai_token-act-pair · gpt-3.5-turbo

    locations related to significant events or actions

    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
    Afee
    -0.66
    jad
    -0.62
    ire
    -0.59
    mite
    -0.57
     Recession
    -0.56
    ]}
    -0.56
     Include
    -0.56
    antz
    -0.56
    eed
    -0.55
     Ratings
    -0.54
    POSITIVE LOGITS
     where
    1.19
     whence
    1.17
    where
    1.10
     wherein
    0.90
     expecting
    0.87
     intending
    0.87
     whereby
    0.86
     hoping
    0.83
     chaired
    0.79
     which
    0.77
    Activations Density 0.379%

    No Known Activations