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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. 17822
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    Explanations

    phrases or sentences enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quoted statements or direct speech within the text

    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
     vault
    -0.73
     prelim
    -0.68
     arch
    -0.68
     upstairs
    -0.67
     downstairs
    -0.67
     casc
    -0.66
     spine
    -0.66
     footing
    -0.65
     sprint
    -0.65
     crunch
    -0.65
    POSITIVE LOGITS
    We
    1.40
    Our
    1.30
    There
    1.30
    People
    1.29
    It
    1.26
    Because
    1.24
    Today
    1.23
    Certainly
    1.23
    Unless
    1.22
    They
    1.22
    Activations Density 0.108%

    No Known Activations